Category: Data Quality

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Data Quality Enriches Customer Experiences

After many years of inside-out strategies, most enterprises are now challenged to change focus to the Customer. Part of the challenge is to understand the customer perspective: what customers want and need from companies and their products. Interactions with customers take place in many venues, most of which are not controlled by the enterprise. The [...]

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End-to-End Analytics: Is It Necessary or Just Nice To Have?

There’s been a great deal of noise about Big Data. You could say that the PR volume has been almost deafening. We don’t often think of IT as a fashion industry, and indeed in many of its sectors it is not. But right now Big Data is high fashion by any reasonable definition. Indeed, I [...]

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From Tactical to Strategic Action: Operational Decision Management

How do companies stand out in today’s commoditized markets? What routes do companies take to become or remain more competitive? Companies now must not only perform better with their go-to-market strategies to sustain growth and profitability, they have to tap into operational processes to improve performance and find new ways to innovate. Operational functions cut [...]

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Data Quality: Accuracy or Precision?

For many decision-making scenarios, analytics are moving away from the traditional slower-moving BI of previous years. New kinds of analytics are emerging to handle accelerated challenges facing many enterprises where decisions must be made faster, and where a greater variety of data impacts the enterprise including complex data formats. In response to this emerging world [...]

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The Movement to Deep and Complex Data Analytics is Paved by Data Integration

Big Data is the hyped buzzword around the growth of data analytics.  However, data analytics grew quickly over the last 10 years, and the movement to Big Data technology was more of a catalyst than an enabler.  Indeed, we’ve been on a path to getting much better at data analytics in recent years, driven largely [...]

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