Tag Archives: Informatica

Commerce Ready Data for B2B & B2C at Informatica World

If you’ve been contemplating to transform your business, making it a priority to embrace digital transformation, this year’s Informatica World 2015, in Las Vegas, has a series of B2B and B2C sessions for you. Here are some I wish to recommend:

B2B Commerce Ready Data

PartsSource Improve Customer Experience with Product Information in Medical Parts
Brian Thomas, Director of Application, PartsSource

A leading provider of medical replacement parts solutions, PartsSource will discuss how it uses Informatica PIM as the foundation for its omnichannel strategy and to support its industry-first one-stop shop online catalog for medical parts. PartsSource will explain how Informatica helped reduce the time needed to launch and update products from 120 minutes to 2 minutes using fewer employees, making it easier than ever to connect over 3,300 hospitals to thousands of OEMs and suppliers.

B2C Commerce Ready Data

Elkjop and Monsanto: PIM and MDM to Manage Product and Customer Data
Thomas Thykjer, Master Data Architect, Elkjop Nordics AS
Jim Stellern, US Commercial Data Management and BI IT Lead, Monsanto

Elkjop, the largest consumer electronics retailer in the Nordic countries, increased both its product range offering and the quality of its product information across its entire portfolio by leveraging the strong embedded Data Quality tools found in the Informatica PIM. Elkjop will also discuss how they reduced their yearly development costs and operating costs.

Monsanto developed a strategy to address customer data quality issues, clearly articulated the business value of implementing the strategy, and successfully implemented the solution leveraging Informatica MDM and a new data governance program.

Register to Informatica World Now!

Omnichannel Ready: What’s New in PIM 8?

Latest Features, Demo and Roadmap

Stefan Reinhardt, Senior Product Manager PIM, R&D DEU PIM, Informatica
Ben Rund, Sr. Director Product Marketing, Information Quality Solutions, Informatica

Are you commerce ready? Can you say the same about your data? Are you focused on the betterment of your supply chain, marketing, ecommerce, merchandising and category management This session, aimed at those wanting to sell more products faster.

Learn what’s new with PIM 8:

  • Kits and bundles for superior cross-selling
  • High data volumes architecture
  • Role- and task-based web interfaces for increased efficiency on product content collaboration
  • Business user dashboard
  • 1WorldSync data pool syndication for compliant CPG data
  • Product Data as a Service (DaaS) for price intelligence and content benchmarking.

We will be covering all those new features during the session through in a live demo.

Furthermore, we will also cover the PIM roadmap, showcasing how PIM is evolving and gaining MDM like features, by fueling product data apps for different use cases and industries, leveraging the Intelligent Data Platform.

User Group Session for Omnichannel

Are you looking to talk to the experts? Don’t miss out on our user group sessions where you will be able to discuss and work directly with the R&D and product management experts. They will be there to answer your questions as well as hear your thoughts and feedback. It’s your opportunity to be heard and get an answer to your question, don’t miss out!

Register to Informatica World Now!

37 Sessions to Master the Digital Transformation

An overall of 37 sessions, focused on different Master Data Management and Information Governance, key disciplines and the foundation of successfully mastering digital transformation, will be held on the 12th and 13th of May.

View the agenda grid to get an overview

View the session catalog to understand more details

Register to Informatica World Now!

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Posted in PiM, Public Sector, Retail, Telecommunications, Total Customer Relationship | Tagged , , , , , , , , , | Leave a comment

Strata 2015 – Making Data Work for Everyone with Cloud Integration, Cloud Data Management and Cloud Machine Learning

Making Data Work for Everyone with Cloud Integration, Cloud Data Management and Cloud Machine Learning

Making Data Work for Everyone with Cloud

Are you ready to answer “Yes” to the questions:

a) “Are you Cloud Ready?”
b) “Are you Machine Learning Ready?”

I meet with hundreds of Informatica Cloud customers and prospects every year. While they are investing in Cloud, and seeing the benefits, they also know that there is more innovation out there. They’re asking me, what’s next for Cloud? And specifically, what’s next for Informatica in regards to Cloud Data Integration and Cloud Data Management? I’ll share more about my response throughout this blog post.

The spotlight will be on Big Data and Cloud at the Strata + Hadoop World conference taking place in Silicon Valley from February 17-20 with the theme  “Make Data Work”. I want to focus this blog post on two topics related to making data work and business insights:

  • How existing cloud technologies, innovations and partnerships can help you get ready for the new era in cloud analytics.
  • How you can make data work in new and advanced ways for every user in your company.

Today, Informatica is announcing the availability of its Cloud Integration Secure Agent on Microsoft Azure and Linux Virtual Machines as well as an Informatica Cloud Connector for Microsoft Azure Storage. Users of Azure data services such as Azure HDInsight, Azure Machine Learning and Azure Data Factory can make their data work with access to the broadest set of data sources including on-premises applications, databases, cloud applications and social data. Read more from Microsoft about their news at Strata, including their relationship with Informatica, here.

“Informatica, a leader in data integration, provides a key solution with its Cloud Integration Secure Agent on Azure,” said Joseph Sirosh, Corporate Vice President, Machine Learning, Microsoft. “Today’s companies are looking to gain a competitive advantage by deriving key business insights from their largest and most complex data sets. With this collaboration, Microsoft Azure and Informatica Cloud provide a comprehensive portfolio of data services that deliver a broad set of advanced cloud analytics use cases for businesses in every industry.”

Even more exciting is how quickly any user can deploy a broad spectrum of data services for cloud analytics projects. The fully-managed cloud service for building predictive analytics solutions from Azure and the wizard-based, self-service cloud integration and data management user experience of Informatica Cloud helps overcome the challenges most users have in making their data work effectively and efficiently for analytics use cases.

The new solution enables companies to bring in data from multiple sources for use in Azure data services including Azure HDInsight, Azure Machine Learning, Azure Data Factory and others – for advanced analytics.

The broad availability of Azure data services, and Azure Machine Learning in particular, is a game changer for startups and large enterprises. Startups can now access cloud-based advanced analytics with minimal cost and complexity and large businesses can use scalable cloud analytics and machine learning models to generate faster and more accurate insights from their Big Data sources.

Success in using machine learning requires not only great analytics models, but also an end-to-end cloud integration and data management capability that brings in a wide breadth of data sources, ensures that data quality and data views match the requirements for machine learning modeling, and an ease of use that facilitates speed of iteration while providing high-performance and scalable data processing.

For example, the Informatica Cloud solution on Azure is designed to deliver on these critical requirements in a complementary approach and support advanced analytics and machine learning use cases that provide customers with key business insights from their largest and most complex data sets.

Using the Informatica Cloud solution on Azure connector with Informatica Cloud Data Integration enables optimized read-write capabilities for data to blobs in Azure Storage. Customers can use Azure Storage objects as sources, lookups, and targets in data synchronization tasks and advanced mapping configuration tasks for efficient data management using Informatica’s industry leading cloud integration solution.

As Informatica fulfills the promise of “making great data ready to use” to our 5,500 customers globally, we continue to form strategic partnerships and develop next-generation solutions to stay one step ahead of the market with our Cloud offerings.

My goal in 2015 is to help each of our customers say that they are Cloud Ready! And collaborating with solutions such as Azure ensures that our joint customers are also Machine Learning Ready!

To learn more, try our free Informatica Cloud trial for Microsoft Azure data services.

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Posted in B2B, Business Impact / Benefits, Business/IT Collaboration, Cloud, Cloud Application Integration, Cloud Computing, Cloud Data Integration, Data Services | Tagged , , , , , , , , , , , , , , , , | 2 Comments

Healthcare Consumer Engagement

The signs that healthcare is becoming a more consumer (think patients, members, Healthcareproviders)  driven industry are evident all around us. I see provider and payer organizations clamoring for more data, specifically data that is actionable, relatable and has integrity. Armed with this data, healthcare organizations are able to differentiate around a member/patient-centric view.

These consumer-centric views convey the total value of the relationships healthcare organizations have with consumers. Understanding the total value creates a more comprehensive understanding of consumers because they deliver a complete picture of an individual’s critical relationships including: patient to primary care provider, member to household, provider to network and even members to legacy plans. This is the type of knowledge that informs new treatments, targets preventative care programs and improves outcomes.

Payer organizations are collecting and analyzing data to identify opportunities for  more informed care management and segmentation to reach new, high value customers in individual markets. By segmenting and targeting messaging to specific populations, health plans generate increased member satisfaction and cost effectively expands and manages provider networks.

How will they accomplish this? Enabling members to interact in health and wellness forums, analyzing member behavior and trends and informing care management programs with a 360 view of members… to name a few . Payers will also drive new member programs, member retention and member engagement marketing and sales programs by investigating complete views of member households and market segments.

In the provider space, this relationship building can be a little more challenging because often consumers as patients do not interact with their doctor unless they are sick, creating gaps in data. When provider organizations have a better understanding of their patients and providers, they can increase patient satisfaction and proactively offer preventative care to the sickest (and most likely to engage) of patients before an episode occurs. These activities result in increased market share and improved outcomes.

Where can providers start? By creating a 360 view of the patient, organizations can now improve care coordination, open new patient service centers and develop patient engagement programs.

Analyzing populations of patients, and fostering patient engagement based on Meaningful Use requirements or Accountable Care requirements, building out referral networks and developing physician relationships are essential ingredients in consumer engagement. Knowing your patients and providing a better patient experience than your competition will differentiate provider organizations.

You may say “This all sounds great, but how does it work?” An essential ingredient is clean, safe and connected data.  Clean, safe and connected data requires an investment in data as an asset… just like you invest in real estate and human capital, you must invest in the accessibility and quality of your data. To be successful, arm your team with tools to govern data –ensuring ongoing integrity and quality of data, removes duplicate records and dynamically incorporates data validation/quality rules. These tools include master data management, data quality, metadata management and are focused on information quality. Tools focused on information quality support a total customer relationship view of members, patients and providers.

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Posted in Customer Acquisition & Retention, Data Governance, Data Quality, Healthcare, Master Data Management | Tagged , , , , | Leave a comment

At Valspar Data Management is Key to Controlling Purchasing Costs

Steve Jenkins, Global IT Director at Valspar

Steve Jenkins is working to improve information management maturity at Valspar

Raw materials costs are the company’s single largest expense category,” said Steve Jenkins, Global IT Director at Valspar, at MDM Day in London. “Data management technology can help us improve business process efficiency, manage sourcing risk and reduce RFQ cycle times.”

Valspar is a $4 billion global manufacturing company, which produces a portfolio of leading paint and coating brands. At the end of 2013, the 200 year old company celebrated record sales and earnings. They also completed two acquisitions. Valspar now has 10,000 employees operating in 25 countries.

As is the case for many global companies, growth creates complexity. “Valspar has multiple business units with varying purchasing practices. We source raw materials from 1,000s of vendors around the globe,” shared Steve.

“We want to achieve economies of scale in purchasing to control spending,” Steve said as he shared Valspar’s improvement objectives. “We want to build stronger relationships with our preferred vendors. Also, we want to develop internal process efficiencies to realize additional savings.”

Poorly managed vendor and raw materials data was impacting Valspar’s buying power

Data management at Valspar

“We realized our buying power was limited by the age and quality of available vendor and raw materials data.”

The Valspar team, who sharply focuses on productivity, had an “Aha” moment. “We realized our buying power was limited by the age and quality of available vendor data and raw materials data,” revealed Steve. 

The core vendor data and raw materials data that should have been the same across multiple systems wasn’t. Data was often missing or wrong. This made it difficult to calculate the total spend on raw materials. It was also hard to calculate the total cost of expedited freight of raw materials. So, employees used a manual, time-consuming and error-prone process to consolidate vendor data and raw materials data for reporting.

These data issues were getting in the way of achieving their improvement objectives. Valspar needed a data management solution.

Valspar needed a single trusted source of vendor and raw materials data

Informatica MDM supports vendor and raw materials data management at Valspar

The team chose Informatica MDM as their enterprise hub for vendors and raw materials

The team chose Informatica MDM, master data management (MDM) technology. It will be their enterprise hub for vendors and raw materials. It will manage this data centrally on an ongoing basis. With Informatica MDM, Valspar will have a single trusted source of vendor and raw materials data.

Informatica PowerCenter will access data from multiple source systems. Informatica Data Quality will profile the data before it goes into the hub. Then, after Informatica MDM does it’s magic, PowerCenter will deliver clean, consistent, connected and enriched data to target systems.

Better vendor and raw materials data management results in cost savings

Valspar Chameleon Jon

Valspar will gain benefits by fueling applications with clean, consistent, connected and enriched data

Valspar expects to gain the following business benefits:

  • Streamline the RFQ process to accelerate raw materials cost savings
  • Reduce the total number of raw materials SKUs and vendors
  • Increase productivity of staff focused on pulling and maintaining data
  • Leverage consistent global data visibly to:
    • increase leverage during contract negotiations
    • improve acquisition due diligence reviews
    • facilitate process standardization and reporting

 

Valspar’s vision is to tranform data and information into a trusted organizational assets

“Mastering vendor and raw materials data is Phase 1 of our vision to transform data and information into trusted organizational assets,” shared Steve. In Phase 2 the Valspar team will master customer data so they have immediate access to the total purchases of key global customers. In Phase 3, Valspar’s team will turn their attention to product or finished goods data.

Steve ended his presentation with some advice. “First, include your business counterparts in the process as early as possible. They need to own and drive the business case as well as the approval process. Also, master only the vendor and raw materials attributes required to realize the business benefit.”

Total Supplier Information Management eBook

Click here to download the Total Supplier Information Management eBook

Want more? Download the Total Supplier Information Management eBook. It covers:

  • Why your fragmented supplier data is holding you back
  • The cost of supplier data chaos
  • The warning signs you need to be looking for
  • How you can achieve Total Supplier Information Management

 

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Posted in Business/IT Collaboration, Data Integration, Data Quality, Manufacturing, Master Data Management, Operational Efficiency, PowerCenter, Vertical | Tagged , , , , , , , , , , , , , , , , , , | Leave a comment

8 Information Management Challenges for UDI Compliance

“My team spends far too much time pulling together medical device data that’s scattered across different systems and reconciling it in spreadsheets to create compliance reports.” This quotation from a regulatory affairs leader at a medical device manufacturer highlights the impact of poorly managed medical device data on compliance reporting, such as the reports needed for the FDA’s Universal Device Identification (UDI) regulation. In fact, an overreliance on manual, time-consuming processes brings an increased risk of human error in UDI compliance reports.

frustrated_man_computer

Is your compliance team manually reconciling data for UDI compliance reports?

If you are an information management leader working for a medical device manufacturer, and your compliance team needs quick and easy access to medical device data for UDI compliance reporting, I have five questions for you:

1) How many Class III and Class II devices do you have?
2) How many systems or reporting data stores contain data about these medical devices?
3) How much time do employees spend manually fixing data errors before the data can be used for reporting?
4) How do you plan to manage medical device data so the compliance team can quickly and easily produce accurate reports for UDI Compliance?
5) How do you plan to help the compliance team manage the multi-step submission process?

Watch this on-demand webinar "3 EIM Best Practices for UDI Compliance"

Watch this on-demand webinar “3 EIM Best Practices for UDI Compliance”

For some helpful advice from data management experts, watch this on-demand webinar “3 Enterprise Information Management (EIM) Best Practices for UDI Compliance.”

The deadline to submit the first UDI compliance report to the FDA for Class III devices is September 24, 2014. But, the medical device data needed to produce the report is typically scattered among different internal systems, such as Enterprise Resource Planning (ERP) e.g. SAP and JD Edwards, Product Lifecycle Management (PLM), Manufacturing Execution Systems (MES) and external 3rd party device identifiers.

The traditional approach for dealing with poorly managed data is the compliance team burns the midnight oil to bring together and then manually reconcile all the medical device data in a spreadsheet. And, they have to do this each and every time a compliance report is due. The good news is your compliance team doesn’t have to.

Many medical device manufacturers are are leveraging their existing data governance programs, supported by a combination of data integration, data quality and master data management (MDM) technology to eliminate the need for manual data reconciliation. They are centralizing their medical device data management, so they have a single source of trusted medical device data for UDI compliance reporting as well as other compliance and revenue generating initiatives.

Get UDI data management advice from data experts Kelle O'Neal, Managing Partner at First San Francisco Partners and Bryan Balding, MDM Specialist at Informatica
Get UDI data management advice from data experts Kelle O’Neal, Managing Partner at First San Francisco Partners and Bryan Balding, MDM Specialist at Informatica

During this this on-demand webinar, Kelle O’Neal, Managing Partner at First San Francisco Partners, covers the eight information management challenges for UDI compliance as well as best practices for medical device data management.

Bryan Balding, MDM Solution Specialist at Informatica, shows you how to apply these best practices with the Informatica UDI Compliance Solution.

You’ll learn how to automate the process of capturing, managing and sharing medical device data to make it quicker and easier to create the reports needed for UDI compliance on ongoing basis.

 

 

20 Questions & Answers about Complying with the FDA Requirement for Unique Device Identification (UDI)

20 Questions & Answers about Complying with the FDA Requirement
for Unique Device Identification (UDI)

Also, we just published a joint whitepaper with First San Francisco Partners, Information Management FAQ for UDI: 20 Questions & Answers about Complying with the FDA Requirement for Unique Device Identification (UDI). Get answers to questions such as:

What is needed to support an EIM strategy for UDI compliance?
What role does data governance play in UDI compliance?
What are the components of a successful data governance program?
Why should I centralize my business-critical medical device data?
What does the architecture of a UDI compliance solution look like?

I invite you to download the UDI compliance FAQ now and share your feedback in the comments section below.

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Posted in Data Governance, Data Integration, Data Quality, Enterprise Data Management, Life Sciences, Manufacturing, Master Data Management, Vertical | Tagged , , , , , , , , , , , , , , | Leave a comment

A Whole New World in 81 Days…

In my recent blog post, What Do Millennials Want?, I mentioned that we are bringing you a special blog series, “Informatica Interns Ideas: 2014.” Today’s post, the first in the series, comes from Amitha Narayanan, a Technical Writing Documentation Intern located in our Redwood City HQ office. Amitha is pursuing her Masters in Technical Communication at North Carolina State University. When Amitha is not authoring technical content, you can find her outdoors, exploring the city, reading books on park benches, or doing yoga.

A whole new world in 81 days…

life_change_aheadI was caught between two very distinct emotions as I started my technical documentation internship. On the one hand, I was excited about rejoining the workforce after a year of being away in grad school. On the other, I had the apprehension of a six-year old on the first day of elementary school. I also had a nagging voice inside my head tell me that at 33, I might be the oldest intern in the group.

Well, seven weeks into the internship, I have kissed the voice good bye. And I can scream from any rooftop that this is by far the best decision I have made for myself.

If there is one phrase that sums up my intern experience, it is “a journey of (self) discovery.”

By the end of my first week here, I realized the following things:

  • There is no such thing as a dumb question. This internship has taught me to ask without apology. The six words that made it possible are “that’s what we are here for.”
  • It takes a leader to make another. I see that all around me in managers, mentors, and senior colleagues in the team, who go above and beyond to groom and instill in me the confidence to see myself becoming like them one day. Like they say, “it takes one to know one, show one, and grow one.”
  • I am as important as any full-time employee. I might be here for just three months, but my growth and development are just as crucial as any full-time new hire’s.
  • I won’t be spoon fed, which is the BEST part. Everyone is helpful and points me to where the information is or who the person is that can answer my questions. I love that it simply doesn’t come to me like breakfast in bed on a romantic weekend.

I also know myself better now. I am sure that I love being in an environment that expects me to hit the ground running; I work well with someone who is direct and simply cuts to the chase. I also now know that age is just a number and there is no better time than now to experience what it is like to be part of an organization that is truly young at heart.

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How Much is Poorly Managed Supplier Information Costing Your Business?

Supplier Information“Inaccurate, inconsistent and disconnected supplier information prohibits us from doing accurate supplier spend analysis, leveraging discounts, comparing and choosing the best prices, and enforcing corporate standards.”

This is quotation from a manufacturing company executive. It illustrates the negative impact that poorly managed supplier information can have on a company’s ability to cut costs and achieve revenue targets.

Many supply chain and procurement teams at large companies struggle to see the total relationship they have with suppliers across product lines, business units and regions. Why? Supplier information is scattered across dozens or hundreds of Enterprise Resource Planning (ERP) and Accounts Payable (AP) applications. Too much valuable time is spent manually reconciling inaccurate, inconsistent and disconnected supplier information in an effort to see the big picture. All this manual effort results in back office administrative costs that are higher than they should be.

Do these quotations from supply chain leaders and their teams sound familiar?

  • “We have 500,000 suppliers. 15-20% of our supplier records are duplicates. 5% are inaccurate.”
  • I get 100 e-mails a day questioning which supplier to use.”
  • “To consolidate vendor reporting for a single supplier between divisions is really just a guess.”
  • “Every year 1099 tax mailings get returned to us because of invalid addresses, and we play a lot of Schedule B fines to the IRS.”
  • “Two years ago we spent a significant amount of time and money cleansing supplier data. Now we are back where we started.”
Webinar, Supercharge Your Supply Chain Apps with Better Supplier Information

Join us for a Webinar to find out how to supercharge your supply chain applications with clean, consistent and connected supplier information

Please join me and Naveen Sharma, Director of the Master Data Management (MDM) Practice at Cognizant for a Webinar, Supercharge Your Supply Chain Applications with Better Supplier Information, on Tuesday, July 29th at 11 am PT.

During the Webinar, we’ll explain how better managing supplier information can help you achieve the following goals:

  1. Accelerate supplier onboarding
  2. Mitiate the risk of supply disruption
  3. Better manage supplier performance
  4. Streamline billing and payment processes
  5. Improve supplier relationship management and collaboration
  6. Make it easier to evaluate non-compliance with Service Level Agreements (SLAs)
  7. Decrease costs by negotiating favorable payment terms and SLAs

I hope you can join us for this upcoming Webinar!

 

 

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Posted in Business Impact / Benefits, Business/IT Collaboration, Data Integration, Data Quality, Manufacturing, Master Data Management | Tagged , , , , , , , , , , , , , , | Leave a comment

Big Data Ingestion got you down? I N F O R M A T I C A spells relief

Big Data alike

I have a little fable to tell you…

This fable has nothing to do with Big Data, but instead deals with an Overabundance of Food and how to better digest it to make it useful.

And it all started when this SEO copywriter from IT Corporation walked into a bar, pub, grill, restaurant, liquor establishment, and noticed 2 large crowded tables.  After what seemed like an endless loop, an SQL programmer sauntered in and contemplated the table problem. “Mind if I join you?”, he said?  Since the tables were partially occupied and there were no virtual tables available, the host looked on the patio of the restaurant at 2 open tables.  “Shall I do an outside join instead?” asked the programmer?  The host considered their schema and assigned 2 seats to the space.

The writer told the programmer to look at the menu, bill of fare, blackboard – there were so many choices but not enough real nutrition. “Hmmm, I’m hungry for the right combination of food, grub, chow, to help me train for a triathlon” he said.  With that contextual information, they thought about foregoing the menu items and instead getting in the all-you-can-eat buffer line. But there was too much food available and despite its appealing looks in its neat rows and columns, it seemed to be mostly empty calories.  They both realized they had no idea what important elements were in the food, but came to the conclusion that this restaurant had a “Big Food” problem.

They scoped it out for a moment and then the writer did an about face, reversal, change in direction and the SQL programmer did a commit and quick pivot toward the buffer line where they did a batch insert of all of the food, even the BLOBS of spaghetti, mash potatoes and jello.  There was far too much and it was far too rich for their tastes and needs, but they binged and consumed it all.  You should have seen all the empty dishes at the end – they even caused a stack overflow. Because it was a batch binge, their digestive tracts didn’t know how to process all of the food, so they got a stomach ache from “big food” ingestion – and it nearly caused a core dump – in which case the restaurant host would have assigned his most dedicated servers to perform a thorough cleansing and scrubbing. There was no way to do a rollback at this point.

It was clear they needed relief.  The programmer did an ad hoc query to JSON, their Server who they thought was Active, for a response about why they were having such “big food” indigestion, and did they have packets of relief available.  No response. Then they asked again. There was still no response.  So the programmer said to the writer, “Gee, the Quality Of Service here is terrible!”

Just then, the programmer remembered a remedy he had heard about previously and so he spoke up.  “Oh, it’s very easy just <SELECT>Vibe.Data.Stream from INFORMATICA where REAL-TIME is NOT NULL.”

Informatica’s Vibe Data Stream enables streaming food collection for real-time Big food analytics, operational intelligence, and traditional enterprise food warehousing from a variety of distributed food sources at high scale and low latency. It enables the right food ingested at the right time when nutrition is needed without any need for binge or batch ingestion.

And so they all lived happily ever after and all was good in the IT Corporation once again.

***

If you think you know what this fable is about and want a more thorough and technical explanation, check out this tech talk Here

Or

Download Now and take your first steps to rapidly developing applications that sense and respond to streaming food (or data) in real-time.

 

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Posted in Architects, Big Data, Complex Event Processing, Data Integration, Data Synchronization, Hadoop, Marketplace, Real-Time, Ultra Messaging | Tagged , , , , , , , , , | 1 Comment

MDM Day Advice: Connect MDM to a Tangible Business Outcome or You Will Fail

“Start your master data management (MDM) journey knowing how it will deliver a tangible business outcome. Will it help your business generate revenue or cut costs? Focus on the business value you plan to deliver with MDM and revisit it often,” advises Michael Delgado, Information  Management Director at Citrix during his presentation at MDM Day, the InformaticaWorld 2014 pre-conference program. MDM Day focused on driving value from business-critical information and attracted 500 people.

A record 500 people attended MDM Day in Las Vegas

A record 500 people attended MDM Day in Las Vegas

In Ravi Shankar’s recent MDM Day preview blog, Part 2: All MDM, All Day at Pre-Conference Day at InformaticaWorld, he highlights the amazing line up of master data management (MDM) and product information management (PIM) customers speakers, Informatica experts as well as our talented partner sponsors.

Here are my MDM Day fun facts and key takeaways:

  • Did you know that every 2 seconds an aircraft with GE engine technology is taking off somewhere in the world?

    Ginny Walker, Chief Enterprise Architect at GE Aviation

    Ginny Walker, Chief Enterprise Architect at GE Aviation

    GE Aviation’s Chief Enterprise Architect, Ginny Walker, presented “Operationalizing Critical Business Processes: GE Aviation’s MDM Story.” GE Aviation is a $22 billion company and a leading provider of jet engines, systems and services.  Ginny shared the company’s multi-year journey to improve installed-base asset data management. She explained how the combination of data, analytics, and connectivity results in productivity improvements such as reducing up to 2% of the annual fuel bill and reducing delays. The keys to GE Aviation’s analytical MDM success were: 1) tying MDM to business metrics, 2) starting with a narrow scope, and 3) data stewards. Ginny believes that MDM is an enabler for the Industrial Internet and Big Data because it empowers companies to get insights from multiple sources of data.

  •  Did you know that EMC has made a $17 billion investment in acquisitions and is integrating more than 70 technology companies?
    Barbara Latulippe, EMC

    Barbara Latulippe, Senior Director, Enterprise Information Management at EMC

    EMC’s Barbara Latulippe, aka “The Data Diva,” is the Senior Director of Enterprise Information Management (EIM). EMC is a $21.7 billion company that has grown through acquisition and has 60,000 employees worldwide. In her presentation, “Formula for Success: EMC MDM Best Practices,” Barbara warns that if you don’t have a data governance program in place, you’re going to have a hard time getting an MDM initiative off the ground. She stressed the importance of building a data governance council and involving the business as early as possible to agree on key definitions such as “customer.” Barbara and her team focused on the financial impact of higher quality data to build a business case for operational MDM. She asked her business counterparts, “Imagine if you could onboard a customer in 3 minutes instead of 15 minutes?”

  • Did you know that Citrix is enabling the mobile workforce by uniting apps, data and services on any device over any network and cloud?

    Michael Delgado, Citrix

    Michael Delgado, Information Management Director at Citrix

    Citrix’s Information Management Director, Michael Delgado, presented “Citrix MDM Case Study: From Partner 360 to Customer 360.” Citrix is a $2.9 billion Cloud software company that embarked on a multi-domain MDM and data governance journey for channel partner, hierarchy and customer data. Because 90% of the company’s product bookings are fulfilled by channel partners, Citrix started their MDM journey to better understand their total channel partner relationship to make it easier to do business with Citrix and boost revenue. Once they were successful with partner data, they turned to customer data. They wanted to boost customer experience by understanding the total customer relationship across products lines and regions. Armed with this information, Citrix employees can engage customers in one product renewal process for all products. MDM also helps Citrix’s sales team with white space analysis to identify opportunities to sell more user licenses in existing customer accounts.

  •  Did you know Quintiles helped develop or commercialize all of the top 5 best-selling drugs on the market?

    John Poonnen, Quintiles

    John Poonnen, Director Infosario Data Factory at Quintiles

    Quintiles’ Director of the Infosario Data Factory, John Poonnen, presented “Using Multi-domain MDM to Gain Information Insights:How Quintiles Efficiently Manages Complex Clinical Trials.” Quintiles is the world’s largest provider of biopharmaceutical development and commercial outsourcing services with more than 27,000 employees. John explained how the company leverages a tailored, multi-domain MDM platform to gain a holistic view of business-critical entities such as investigators, research facilities, clinical studies, study sites and subjects to cut costs, improve quality, improve productivity and to meet regulatory and patient needs. “Although information needs to flow throughout the process – it tends to get stuck in different silos and must be manually manipulated to get meaningful insights,” said John. He believes master data is foundational — combining it with other data, capabilities and expertise makes it transformational.

While I couldn’t attend the PIM customer presentations below, I heard they were excellent. I look forward to watching the videos:

  • Crestline/ Geiger: Dale Denham, CIO presented, “How Product Information in eCommerce improved Geiger’s Ability to Promote and Sell Promotional Products.”
  • Murdoch’s Ranch and Home Supply: Director of Marketing, Kitch Walker presented, “Driving Omnichannel Customer Engagement – PIM Best Practices.”

I also had the opportunity MDM Day Sponsorsto speak with some of our knowledgeable and experienced MDM Day partner sponsors. Go to Twitter and search for #MDM and #DataQuality to see their advice on what it takes to successfully kick-off and implement an MDM program.

There are more thought-provoking MDM and PIM customer presentations taking place this week at InformaticaWorld 2014. To join or follow the conversation, use #INFA14 #MDM or #INFA14 #PIM.

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Posted in Business Impact / Benefits, Business/IT Collaboration, CIO, CMO, Customer Acquisition & Retention, Customers, Data Governance, Data Integration, Data Quality, Enterprise Data Management, Informatica World 2014, Master Data Management, Partners, PiM, Product Information Management, Uncategorized | Tagged , , , , , , , , , , , , , , , , , , , , | 1 Comment

Utility Executives: Don’t Waste Millions in Operating Costs Due to Bad Asset Data

“Trying to improve the quality of asset data when you don’t have a solid data management infrastructure in place is like trying to save a sinking boat with a bailing bucket,” explained Dean Balog, a senior principal consultant at Noah Consulting, in this webinar, Attention Utility Executives: Don’t Waste Millions in Operating Costs Due to Bad Asset Data

Dean Balog from Noah Consulting explains how to improve the quality of mission-critical asset data for asset management / equipment maintenance and regulatory reporting, such as rate case submissions.

Dean has 15 years of experience in information management in the utilities industry. In this interview, Dean and I discuss the top issues facing utility executives and how to improve the quality of mission-critical asset data for asset management / equipment maintenance and regulatory reporting, such as rate case submissions.

Q: Dean, what are the top issues facing utility executives?
A: The first issue is asset management / equipment maintenance. Knowing where to invest precious dollars is critical. Utility executives are engaged in a constant tug of war between two competing priorities: replacing aging infrastructure and regular maintenance.

Q. How are utility executives determining that balance?
A. You need to start with facts – the real costs and reliability information for each asset in your infrastructure. Without it, you are guessing. Basically, it is a data problem. Utility executives should ask themselves these questions:

  • Do we have the ability to capture and combine cost and reliability information from multiple sources?  Is it granular enough to be useful?
  • Do we know the maintenance costs of eight-year-old breakers versus three-year-old breakers?
  • Do our meters start failing around the average lifespan? For this example, let us say that is five years. Rather than falling uniformly into that average, do 30% of our meters fail in the first year and the rest last eight years? Those three extra years of life can certainly help out the bottom line.

Knowing your data makes all the difference. The right capital investment strategy requires combining performance, reliability, and cost data.

Quotations about data challenges faced by utility companies

Quotations about data challenges faced by utility companies

Q. Why is it difficult for utility executives to understand the real costs and reliability of assets?
A. I know this does not come as a shock, but most companies do not trust their data. Asset data is often inaccurate, inconsistent, and disconnected. Even the most basic data may not be available. For example, manufacture dates on breakers should be filled in, but they are not. If less than 50% of your breakers have manufacture dates, how can you build a preventative maintenance program? You do not even know what to address first!

A traditional approach to solving this data problem is to do a big data cleanup. You clean the data, and then before you know it, errors creep back in, and the trust in the data you have worked so hard to establish is lost.

I like to illustrate the pain of this issue by using the sinking boat analogy. Data cleanup is like bailing out the water collecting in the bottom of the boat. You think you are solving the problem but more water still seeps into the boat. You cannot stop bailing or you will sink. What you need to do is fix the leaks, and then bail out the boat. But, if you do not lift up your head from bailing long enough to see the leaks and make the right investments, you are fighting a losing battle.

Q. What can utility executives do to improve the quality of asset data?
A. First of all, you need to develop a data governance framework. Going back to the analogy, a data governance framework gives you the structure to find the leaks, fix the leaks, and monitor how much of the water has been bailed out. If the water level is still rising, you have not fixed all the leaks. But having a data governance framework is not the be-all and end-all.

You also need to appoint data stewards to be accountable for establishing and maintaining high quality asset data. The job of a data steward would be easy if there was only one system where all asset data resided. But the fact of the matter is that asset data is fragmented – scattered across multiple systems. Data stewards have a huge responsibility and they need to be supported by a solid data management infrastructure to ease the burden of managing business-critical asset information.

Webinar, Attention Utility Executives Bad Asset Data

If you are responsible for asset management / equipment maintenance or regulatory reporting, particularly rate case submissions, check out this webinar.

Master Data Management (MDM) ensures business-critical asset data is consistent everywhere by pulling together data that is scattered across multiple applications. It manages and masters it in a central location on a continuous basis and shares it with any applications that need that data. MDM provides a user interface and workflow for data stewards to manage the tangled web of names and IDs these assets are known by across systems. It also gives utilities a disciplined approach to manage important relationships between the asset data, such as an asset’s performance reliability and its cost.

Q. Any other pressing issues facing utilities?
A. Yes. Another big issue is tightening regulations that consume investment dollars and become key inputs into rate case submissions and defenses. One of the complicating factors is the number of regulations is not only increasing, but the regulators are also requiring faster implementation times than ever before. So, utilities cannot just do what they have done in the past: throw more people at the problem in the short-term and resolve to fix it later by automating it “when things slow down.” That day never comes.

Q. How can utilities deal with these regulatory pressures?
A. Utilities need a new approach to deal with regulations. Start with the assumption that all data is fair game for regulators. All data must be accessible. You need to be able to report on it, not only to comply with regulations, but for competitive advantage. This requires the high quality asset information we talked about earlier, and an analytical application to:

  • Perform what-if analyses for your asset investment program;
  • Develop regulatory compliance or environmental reports quickly, because the hard work (integrating the data within your MDM program) has already been done; and
  • Get access to granular, observed reliability and cost information using your own utility’s data – not benchmark data that is already a couple of years old and highly summarized.

Q. What is your advice for utility company executives?
A. If you are the one responsible for signing off on regulatory reports and you do not look good in an orange jumpsuit, you need to invest in a plan that includes people, process, and technology to support regulatory reporting and asset management / equipment maintenance.

  • People – Data stewards have clear accountability for the quality of asset data.
  • Process – Data governance is your game plan.
  • Technology – A solid data management infrastructure consisting of data integration, data quality, and master data management is your means.

If you are responsible for asset management / equipment maintenance or regulatory reporting, particularly rate case submissions, check out this webinar, Attention Utility Executives: Don’t Waste Millions in Operating Costs Due to Bad Asset Data

 Our panel of utility data experts:

  • Reveal the five toughest business challenges facing utility industry executives;
  • Explain how bad asset data could be costing you millions of dollars in operating costs;
  • Share three best practices for optimizing asset management / equipment maintenance and regulatory reporting with accurate, consistent, and connected asset information; and
  • Show you how to implement these best practices with a demonstration.

 

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