Posts

Kalido and Anchor Modeling (AM)

Someone asked me my opinion of Anchor Modeling, and I had to admit that I hadn’t really looked at it in detail.  I’m not sure why — at first glance, “Almost 6th Normal Form” modified using a practical approach and software automation should be right in wheelhouse of people who work at Kalido! Read more

Big Data and Moneyball

Like many baseball fans, I was spellbound by Moneyball, the 2003 Michael Lewis book that told the story of how Oakland Athletics general manager Billy Beane and his staff leveled the playing field between baseball’s biggest teams and his small market club by finding overlooked value in the “big data” of baseball statistics. Read more

Parallel Parking and Other Critical Decisions

Are you confident that you have the information you need to make critical business decisions?  Are you confident that the data is of sufficient quality to guide your decision down the right path?  Are you confident that the data is timely enough to reflect the current business scenario?  Are you willing to act on information compiled from your current sources of data or, even further, allow an automated action to be triggered without your involvement in the decision-making process?  Read more

Building an Agile Data Warehouse – Part 2

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If you accept the concepts of Agile Data Warehousing you quickly will discover that the traditional toolset (modeling tools, ETL tools, etc.) bring little to the table to advance an agile methodology.  As we saw in part one, acquiring a pre-built model can help focus some of the requirements gathering, but it does little to enable the implementation of an agile methodology.  Read more

Building an Agile Data Warehouse – Part 1

Data warehouses are hard to build.  The goal, of course, of any data warehouse is to house all the data required to provide the business with the answers needed to run the business effectively.  The problem is that the questions keep changing and evolving.  Read more

Focus on Business Relevance

Many companies are in search of the holy grail of being a more agile business.  But, those same organizations are trapped in traditional decision support cycles and have fallen into a rut of “business as usual”.  Knowledge workers are capable of answering any questions rapidly for which supporting data is available and accessible.  They are also capable of expressing their requirements for additional data that’s needed to support their next generation of questions – or are they? Read more

Are You Agile Enough for Big Data?

What happens if your Big Data analysis project tells you that your strategy for approaching the market is wrong?  What if sentiment analysis of the tweet stream reveals that your latest product bundling is missing the mark?  Can you react? Can you adjust in time to take advantage of these insights?  In short, is your company agile enough to take advantage of what you might uncover? Read more

Data Efficiency and Agility Explained

We have written a lot about data agility and efficiency in the Kalido blog. I recently provided the results of our ETL-based Data Warehouses survey, and Allen Johnson wrote about the recent report “Measuring the Half Life of Data” by Nucleus Research. Read more

Single Versions of the Truths

I just finished reading a blog by Forrester’s Connie Moore, “Do You Have a Single Version of Process?” on the Information Management website.  Read more

Survey Results on ETL-Based Data Warehouses

During 2012 we have been surveying TDWI World Conference attendees about their data warehousing investments. We wanted to know their thoughts and experiences on a variety of topics, ranging from whether they felt like IT and “the business” are on the same page in terms of keeping the warehouse up to date with the latest requirements, how long it takes to keep the warehouse current, and how many resources they expended on supporting their environment. We’ve received a little over 400 responses from events in Las Vegas, Chicago, San Diego and Boston. Read more