Tag Archives: Analytics

Aligning Big Data with MDM

In my recent blog posts, we have looked at ways that master data management can become an integral component to the enterprise architecture, and I would be remiss if I did not look at how MDM dovetails with an emerging data management imperative: big data and big data analytics. Fortunately, the value of identity resolution and MDM has the potential for both contributing to performance improvement while enabling efficient entity extraction and recognition. (more…)

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Evolving from Chaos to Competitiveness: The Emerging Architecture of Next-Generation Data Integration

To compete on Big Data and analytics, today’s always-on enterprise needs a well-designed evolving high-level architecture that continuously provides trusted data originating from a vast and fast-changing range of sources, often with different formats, and within different contexts.

To meet this challenge, the art and science of data integration is evolving, from duplicative, project-based silos that have consumed organizations’ time and resources to an architectural approach, in which data integration is based on sustainable and repeatable data integration practices – delivering data integration automatically anytime the business requires it. (more…)

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Posted in Big Data | Tagged , , , , , , | 1 Comment

When it comes to Data Quality Delivery, the Soft Stuff is the Hard Stuff (Part 6 of 6)

In my previous blog I explored the importance of a firm understanding of commercial packaged applications on data quality success. In this final post, I will examine the benefits of having operational experience as a key enabler of effective data quality delivery. (more…)

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Posted in Big Data, Business Impact / Benefits, Data Governance, Data Quality, Master Data Management, Pervasive Data Quality | Tagged , , , , , | 1 Comment

A Big Hairy Audacious Vision

Integration technologies have been around for 20 years (as long as Informatica has been in business) and have proliferated in corporate IT. We are now at an inflection point in the business needs and maturity of integration best practices which we can call Next Generation Data Integration (DI). If we’re going to talk about the next generation, then first we need to put a stake in the ground to describe the current, or prior generation. Furthermore, for it to be a “generational” change, it needs to be a significant step-function improvement in how the work is done and in the business value generated by data assets. Or as Jim Collins said in Built to Last: Successful Habits of Visionary Companies, we need a Big Hairy Audacious Goal. (more…)

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Posted in Big Data, Business Impact / Benefits, Business/IT Collaboration, CIO, Data Governance, Data Integration Platform, Enterprise Data Management, Integration Competency Centers | Tagged , , , , , , , | 9 Comments

The Data is In: Analytics Does Get You Ahead in Business

Finally, there is now evidence of a clear link between financial performance and the broad use of data by employees. Specifically, organizations that take the lead in data analytics are more than three times more likely to be leaders within their industry groups than companies with standard analytics environments.

That’s the finding of a new survey of 530 senior executives, conducted by the Economist Intelligence Unit. There is little disagreement that the ability to make data available across the entire enterprise means greater productivity and performance. More than 80 percent of respondents believe that employees across their organizations “can and should be using data to do their jobs.” (more…)

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When Delivery is Job One, Quality is Job None

Jim Harris, OCDQ

The reality in data warehousing is that the primary focus is on delivery. The data warehouse team is tasked with extracting, transforming, integrating, and loading data into the warehouse within increasingly tight timeframes. Twenty years ago, monthly data warehouse loads were common.  Ten years ago, weekly loads became the norm. Five years ago, daily loads were called for.  Nowadays, near-real-time analytics demands the data warehouse be loaded more frequently than once a day. (more…)

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Big Data in India

Last week I was in both Bangalore and Mumbai providing the keynote address at the Informatica World Tour events. I also had the opportunity to visit with customers and speak with media. Much like the rest of the world, big data is all the buzz. I was particularly taken by a set of questions asked by local media. I thought I’d share them with you along with some of my perspectives.

Who needs big data? What kind of business problems should an enterprise be facing to consider big data? (more…)

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The Increasing Value of Data Integration In Healthcare

Data integration has always been a core technology in the world of healthcare.  The latest trend is to leverage data integration technology as an emerging key strategic advantage within healthcare systems.  The objective is to improve care through the use of existing and new information, and thus provide the ability to be more proactive, saving money and saving lives.  (more…)

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Search Advertising – The New Marketing Mantra

Search Advertising also known as Search Engine Marketing (SEM), is a totally unique medium for attracting new customers. It is a method of placing online advertisements on Web pages that show results from search engine queries. Through the same search engine advertising services, advertisements can also be placed on Web pages with other published content. It is a multi-billion dollar industry. Advertising on Google, Yahoo and MSN gives you a total reach of roughly 86.4% of all Internet users. With such a broad reach, Search Advertising is one of the most extensible forms of advertising available, with added benefits that other forms of advertising are lacking.

In Search Advertising advertisers pay the website owner for clicks on their ads. There are two major types of Search Advertising: Sponsored Search and Content Placement Targeting. (more…)

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‘Cute Little Apps’ are Starting to Open Up Analytics

From the “it’s-About-Time” Department:  More enterprises are embracing – or will soon be embracing – access to data analytics via mobile apps.

Having analytics available in a simple app fashion could be a major boost for efforts to “democratize” analytics in organizations. I once heard Competing on Analytics guru and best-selling author Tom Davenport wonder out loud at a conference why there weren’t more analytics being made available as a “cute little app.” By offering analytics through simple, single-purpose mobile apps, decision-making can be brought into a whole new realm. “I’ve heard of 50 analytical apps for the iPhone so far,” he points out. Examples include a nursing-productivity app, a truck-loading analysis app, and a social sentiment analysis app. (more…)

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