Category Archives: Informatica 9.1

Data Quality Goes Green in Colorado, and on the Informatica Marketplace

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.

(more…)

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Posted in Data Governance, Data Quality, Data Services, Enterprise Data Management, Informatica 9.1, Informatica 9.5, Integration Competency Centers, Operational Efficiency, Pervasive Data Quality, Uncategorized | Tagged , , , , | Leave a comment

Social, Mobile, Cloud, Big Data and … Agile BI

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…)

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Posted in Big Data, Business/IT Collaboration, Data Integration Platform, Data Services, Data Warehousing, Informatica 9.1, Partners, Profiling, Real-Time, Vertical | Tagged , , , , , , | 1 Comment

Integrating Social Media with Enterprise Data

While watching a television re-run of House MD a few weeks ago, there was an American Express commercial featuring Tweets from customers who have made purchases with their reward program points.  American Express has taken ‘listening’ to social media data to the next level and is using it to its own advantage.  By giving their customers a forum to Tweet their experiences through socialcurrency.com, they are taking the social media era by storm. (more…)

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Posted in Big Data, Data Integration, Data Integration Platform, Data Warehousing, Enterprise Data Management, Informatica 9.1 | Tagged , , , | Leave a comment

ANNOUNCING! The 2012 Data Virtualization Architect-to-Architect & Business Value Program

Today, agility and timely visibility are critical to the business. No wonder CIO.com, states that business intelligence (BI) will be the top technology priority for CIOs in 2012. However, is your data architecture agile enough to handle these exacting demands?

In his blog Top 10 Business Intelligence Predictions For 2012, Boris Evelson of Forrester Research, Inc., states that traditional BI approaches often fall short for the two following reasons (among many others):

  • BI hasn’t fully empowered information workers, who still largely depend on IT
  • BI platforms, tools and applications aren’t agile enough (more…)
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Posted in Big Data, Business/IT Collaboration, CIO, Customer Acquisition & Retention, Customers, Data Integration, Data Integration Platform, Data masking, Data Privacy, Data Quality, Data Services, Data Transformation, Data Warehousing, Governance, Risk and Compliance, Informatica 9.1, Informatica Events, Mainframe, Master Data Management, Mergers and Acquisitions, Operational Efficiency, Profiling, Real-Time, SOA, Vertical | Tagged , , , , , , , , , , , , | Leave a comment

What it Takes to Be a Leader in Data Virtualization!

If you haven’t already, I think you should read The Forrester Wave™: Data Virtualization, Q1 2012. For several reasons – one, to truly understand the space, and two, to understand the critical capabilities required to be a solution that solves real data integration problems.

At the very outset, let’s clearly define Data Virtualization. Simply put, Data Virtualization is foundational to Data Integration. It enables fast and direct access to the critical data and reports that the business needs and trusts. It is not to be confused with simple, traditional Data Federation. Instead, think of it as a superset which must complement existing data architectures to support BI agility, MDM and SOA. (more…)

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Posted in Data Integration Platform, Data masking, Data Quality, Data Services, Data Transformation, Data Warehousing, Enterprise Data Management, Financial Services, Governance, Risk and Compliance, Healthcare, Informatica 9.1, Integration Competency Centers, Mainframe, Master Data Management, Mergers and Acquisitions, News & Announcements, Operational Efficiency, Pervasive Data Quality, Profiling, Public Sector, Real-Time, SOA, Telecommunications, Vertical | Tagged , , , , , , , , , , | Leave a comment

Informatica 9.1 Supports Best Practices For Agile Data Integration

Informatica supports Agile Data Integration for Agile BI with best practices that encourage good data governance, facilitate business-IT collaboration, promote reuse & flexibility through data virtualization, and enable rapid prototyping and test-driven development.  Organizations that want to successfully adopt Agile Data Integration should standardize on the following best practices and leverage Informatica 9.1 to streamline the data integration process, improve data governance, and provide a flexible data virtualization architecture.

1. The business and IT work efficiently and effectively to translate requirements and specifications into data services (more…)

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Posted in Data Governance, Data Integration, Data masking, Informatica 9.1, Master Data Management | Tagged , , , , , , , , , | 1 Comment

Less Is More – Why Data Quality Means Less Work For Marketing

The common mantra recently in IT has been the need to ‘do more with less’ and it is very true when it comes to lowering IT budgets and resources to support even more priorities. However in the world of reaching out to your customers ‘less is more’ may be more apt. Personally speaking, I get too many emails that are irrelevant to my work focus or personal interests. I know that if they were more relevant to me it is far more likely that I would take more interest in mails from that source in the future. The days of sending out emails to the full customer database are over. The tools are there to provide far more relevant information to enable more intelligent, timely campaigns. (more…)

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Posted in Customers, Data Quality, Informatica 9.1 | Tagged , , | Leave a comment

Reflections On Gartner’s 2011 Magic Quadrant For Data Quality Tools

Gartner recently released their 2011 Magic Quadrant for Data Quality Tools and I’m happy to announce that Informatica is positioned in the Leaders’ quadrant.  We believe our position is a testament to the fact that customers like Station Casinos and U.S. Xpress continue to turn to Informatica to solve their most critical data quality challenges.

The publishing of the Magic Quadrant is often a great opportunity to reflect on the state of the data quality market.  It should come as no surprise that data quality as a business imperative isn’t going away any time soon.  We are continuing to see customers looking for help and expertise in solving a wide range of data quality problems, largely associated with data governance initiatives, master data management (MDM), business intelligence and application modernization.  And the association of data quality in these areas is only getting stronger. (more…)

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Posted in Big Data, CIO, Data Governance, Data Quality, Informatica 9.1, Pervasive Data Quality, Profiling, Scorecarding | Tagged , , , , , , , , , | Leave a comment

What Will the Software Industry Look Like in 3, 5, Even 10 Years From Now?

Recently Informatica’s Chairman and CEO Sohaib Abbasi was asked to provide commentary on the future of the software industry for SIIA’s annual Vision from the Top. The paper includes input from industry leaders from SIIA members such as Eloqua, GoodData, InsideView, Intuit, Marketo, Opsource, QlikView, Symantec and Xactly. In the the paper, he outlines how “the computer industry will be shaped by the current nexus of megatrends:  Cloud Computing, Social Computing and Mobile Computing.”

Here is Sohaib Abbasi’s answer to the question: “What will the software industry look like in 3, 5, even 10 years from now?” (more…)

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Posted in Big Data, Business Impact / Benefits, Business/IT Collaboration, CIO, Cloud Computing, Data Governance, Data Integration, Data Integration Platform, Data Quality, Governance, Risk and Compliance, IaaS, Informatica 9.1, Mergers and Acquisitions, Operational Efficiency, PaaS, SaaS | Tagged , , , , , , , , , , , , , , | 1 Comment

Is IT Ready for Self-Service?

In response to a recent post where I suggested that Integration is a good place to start your self-service journey, readers responded with questions about whether IT is ready. Here is one of the comments: “For self-service to be successful requires the company to have the correct level of maturity both on the business and IT side, the correct structure and governance in place and an entity dedicated to guiding and promoting the organizations integration efforts.” (more…)

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Posted in Business Impact / Benefits, Business/IT Collaboration, Data Integration, Informatica 9.1, Integration Competency Centers, Operational Efficiency | Tagged , , , | 2 Comments