Tag Archives: Informatica
There are many reasons why you can’t afford to miss Informatica World 2013, and below we have selected five to highlight. Let us know which is your top reason for joining us at Informatica World 2013 in the comments below:
Get in the “data integration” know. See and hear about the latest solutions and product updates, including the Informatica Roadmap and see live demos of our latest offerings before anyone else!
Gain face time 1.0. Informatica experts will be standing by in our “Hands on Lab” offering free advice and consulting.
Make your ‘mark.’ 90% of past attendees said that what they learned at Informatica World has an immediate and positive impact on their job and their organization’s success.
Networking. Network with your peers. Informatica World has attendees from around the world.
Rick Smolan. Learn from the author of The Human Face of Big Data how big data makes a difference in your everyday life.
Next week we are giving away a copy of Rick Smolan’s The Human Face of Big Data on the Informatica World Facebook Page. Check back daily for your chance to win!
According to a Forbes article, the average organization will grow their data by 50 percent in the coming year. Overall corporate data is expected to grow by 94 percent. According to Informatica, data is predicted to increase by as much as 75 times the current volume by the year 2020. What is Big Data all about? Big Data is the management and analytics of an immensely growing volume, variety, and velocity of data in a digital world. A precise definition of big data from analysts like Gartner and Forrester is a hot topic right now that is covered in a lot of blogs.
In my point of view, big data is connecting the dots. It is connecting more than ever before. But what is the role of product data in a big data world?
After recently talking to our customer Halfords, the UK retailer for bicycle and auto parts revealed: All challenge Amazon. Halfords is known as the expert and friend for cyclists. Therefore they position their brand as the leading expert with the best information. They use product information as a differentiator in the market to gain customers’ trust.
This article refers to a challenge that a lot of distributors and retailers are facing. In order to better serve their B2B and B2C customers, they grow and position their product range to be the one trusted supplier. The long tail (endless aisle) strategy offers higher margins with niche products as well.
These distributors and retailers are faced with the challenge of handling 100s or 1000s of suppliers providing content for millions of products. What happens when different suppliers provide information for the same product?
A business case of big product data: Innovative distributors attempt to merge different product content to create the best and richest product information. This requires an intelligent analysis of a supplier’s product data, and intelligent automatism in order to merge this data to create superior product content. The role of the data steward in defining these rules and policies becomes more important than ever before.
How can this be solved?
Data doesn’t only come from suppliers but from other data sources as well. Basic product information might come from a data hub like GS1 or could be synchronized from the distributor’s ERP system, which in turn might be leading the creation of new products in the distributor’s master assortment.
This basic data will be enriched by data coming directly from the manufactures or the suppliers of the distributor. These different data sources provide content for the same products in different levels of quality, richness, and completeness.
Which parts of product information are used from which data sources is determined by objective data quality rules combined with a definition of trust specific to each data source. One supplier is known for accurate descriptions in English while another provides the better German information. And yet a third data source usually provides the best images.
Governance of Product Information Creates Competitive Advantages
This is when Product Information Management comes into the field: to control big product data. According to Heiler’s PIM Product Manager, Markus Schuster, these business processes can only be successful when used with intelligent, highly automated data quality proofpoints and workflows that adhere to the data governance policy.
I joined Informatica five months ago — it didn’t seem like the “I’m new here card” kept things slow for very long and now, being four weeks from HIMSS, I’m in the middle of a familiar flurry activity. Each year, I am reminded that times change, the location changes, where I am working may shift but some things stay the same. At the top of the stay the same list is the passion we all have for healthcare IT… oh, and the familiar faces I look forward to reconnecting with!
Let me tell you a bit about what we have planned for HIMSS 2013. In the coming weeks, we will make exciting product announcements so watch this space. As a precursor, download our latest whitepaper on Healthcare Data Management.
Next, and probably the highlight that I am most excited about, we have one of our customers joining us during the conference. With a prominent NOLA presence, Jonathan Stevenson, Director of Analytics at Ochsner Health System, will be in our booth. Jonathan will share the Ochsner analytics vision and accomplishments. Ochnser relied on the Informatica Platform to migrate data from 38 clinical applications into Epic and then designated Informatica as their enterprise integration platform. As they enter the next phase of their analytics journey, the platform plays a key role in enabling business, clinical and IT collaboration with the ability to streamline development and improve confidence through improved data quality.
We are also excited to increase our booth presence this year and with two partners joining us to exhibit their solutions. The first being HighPoint Solutions and the second being announced closer to the show. Together we will demonstrate joint offerings and examples of innovations in healthcare.
HIMSS would not be complete without social events. One in particular that I want to mention is a meet and greet reception, Monday, March 4th 6:00pm-8:00pm; we are co-sponsoring with dbMotion. If you’d like to attend, contact us via firstname.lastname@example.org. If you can’t meet us at our booth, please let us know and we’ll be happy to arrange a separate time to meet.
Watch this Ochnsner YouTube video and then stop by booth 5005 and learn how Informatica can help you to unlock the potential of your data. Stop by to find out how you can win daily cash prize giveaways.
As always, please feel free to post comments or questions.
Expert Advice for ACO Success: Gain Consensus on Metrics and Use High Quality Healthcare Data for Better Patient Care
It’s amazing how often Accountable Care Organizations (ACOs) are in the news. This Fierce Healthcare article, Maps of 2012 Medicare Accountable Care Organizations, states that ACOs are “the biggest change to Medicare in decades.” This Forbes’ article, Obamacare’s Accountable Care Approach Reaches 1 in 10 in US, reveals that “more than 2.4 million Medicare beneficiaries will be receiving care from more than 150 ACOs that have signed up to participate.”
But what do ACOs need to deliver on their promise of giving coordinated high quality care to Medicare patients at the right time, avoiding unnecessary services and preventing medical errors?
Healthcare industry experts agree on two basics required for ACO success. At a minimum, physicians, hospitals and healthcare providers need:
1) consensus on ACO success metrics to measure performance, and
2) access to timely, high quality healthcare data to better manage patient care and track performance.
Without an agreed upon set of ACO success metrics and better healthcare data management, how can ACOs better manage patients and identify and monitor at-risk patients? Without these basics, how can they improve patient experience, outcomes and healthcare costs?
Bridging the gap and reaching consensus on ACO metrics is one of the greatest challenges for ACOs. The good news is there are experts who can help. Please join us on Wednesday January 23rd for a live Let’s Talk Healthcare Webinar: Bridging the Gap: Reaching Consensus on ACO Metrics. Three healthcare experts:
- Senthil Balasubramanian, Manager of Decision Support at University of Pennsylvania Health System
- Maury DePalo, Director of Edgewater’s Healthcare Practices
- Richard Cramer, Informatica’s Healthcare Strategist
will talk about gaining consensus on ACO metrics, monitoring metrics, making adjustments as needed, and leveraging high quality healthcare data to better manage patient care, healthcare costs and performance.
Queensland Police Service Case Study: Use Your Bad Data To Build A Compelling Data Quality Business Case
Some might think that building a data quality business case is difficult and complicated – but it doesn’t have to be.
At InformaticaWorld, I had the pleasure of meeting Graeme Campbell, ex manager of the client services group at Queensland Police Service (QPS) in Australia, where he delivered a compelling presentation titled, Queensland Police Drive Out Crime with Informatica. My key takeaway: build a simple, business-focused and results-oriented business case that inspires action. (more…)
A recent trip to a supermarket in Telluride, Colorado struck me as a funny place to find an analogy for data quality, but there it was. You see, supermarkets here require you to bring your own bags to cart your groceries home. Those brown disposable plastic bags are banned here – the town has made a firm commitment to the philosophy of Reduce, Reuse and Recycle. By adhering to this environmental philosophy, data integration teams can develop and deploy successful data quality strategies across the enterprise despite the constraints of today’s “do more with less” IT budgets.
In the decade that I’ve been in the Information Management space, I’ve noticed that success in data integration usually comes in small increments – typically on a project by project basis. However, by leveraging those small incremental successes and deploying them in a repeatable, consistent fashion – either as standardized rules sets or data services in a SOA – development teams can maximize their impact at the enterprise level.
Are you delivering measurable business value (e.g., compliance/risk reduction; efficiencies/cost reduction; growth; strategic differentiation) from data management programs and investments? Hopefully many of you can say that yes, through traditional investment in data management best practices, skilled resources and enabling technologies you have provided business value. But for many, the business value delivered is often less than promised or anticipated – and it’s even more difficult to get the necessary funding and prioritization to scale the solution to deliver greater value. Why does this business value ceiling exist and why is it so difficult to break through?
Prevalent data management initiatives (i.e., data integration, data quality, data archiving, data masking, master data management, data warehousing, business intelligence, analytics) when managed as tactical, IT-driven efforts often deliver solid returns within the targeted environment or business area. But efforts to scale these solutions to support cross-enterprise objectives often crash and burn. To break through this business value ceiling – and maximize your return on data – senior business leaders must finally accept accountability and establish sustainable data governance practices within the organization. (more…)
I just came back from MicroStrategy World. There were many conversations about social, mobile, cloud and big data. There was strong interest in cloud, clear adoption of mobile, and some big data adoption. eHarmony had a great presentation about how they handle big data with Informatica, and how they’re starting to use Hadoop with Informatica HParser running on Hadoop for processing JSON.
But that wasn’t the number one conversation. The one topic that everyone was interested in – and I talked to nearly 100 customers and partners over four days – was creating new reports faster, or Agile BI. (more…)
I recently had the opportunity to meet with the board of directors for a large distribution company here in the U.S. On the table for discussion were data quality and data governance, and how a focus on both could help the organization gain competitive advantage in the market. While I was happy to see that this company had tied data quality and data governance to help meet their corporate objectives, that’s not what caught my attention. Instead, what impressed me the most was how the data quality and data governance champion had effectively helped the rest of the board see that there WAS a direct link, and that with careful focus they could drive better business outcomes than they could without a focus on data at all. As it turns out, the path to success for the champion was to focus on articulating the link between trusted data — governed effectively — and the company’s ability to excel financially, manage costs, limit its risk exposure and maintain trust with its customers. (more…)