Remember when organisations were content with quarterly reporting? It enabled them to plan for the next three months or even the rest of the year. Seeing what happened within their business over the last three months was enough!/wp-content/uploads/2013/12/672269_339327.jpeg

    We are in the “Information Now” era. Give ME the information as it is happening, at the point of sales, in the supply chain, on my mobile. Move over stale and out of date data, its all about “how fresh is your data?”

    Fresh green data isn’t always easy to deliver into the right hands at the right time. System diversity, complexity, mobility, infrastructure constraints, data volume explosions are all there lurking to trip up and stall the data along its journey.

    Businesses are living with an ever-shrinking data batch window and it can be like trying to put the same weekly shop into smaller and smaller bags week on week.

    SAP’s HANA platform is about helping to relieve customers of this paradigm of being shackled by data latency issues. The equation of hyper performance serving up piping hot data will lead businesses to innovation.

    But when customers live with a heterogeneous system landscape how can they get high quality disparate data available faster and at less cost?

    One way is to move less data, only take what you need,  lifting only the things  that have changed. This will greatly help the customer achieve this goal. Change Data Capture is a key strategy  to unlocking data latency.

    I am going to examine this area of using one of the tools in the Hana Platform, Data Services. How it  can be used to apply the most appropriate mechanism for delivering fresh, high quality data through the use of applying various change data capture techniques, it’s a question I get asked a lot.  There are misconceptions that Data Services is a batch driven tool, but it can and does operate in this era of “Information Now”.

    These posts will be based on my experiences with variety of customer engagements over the years using Data Services and I am looking to promote a discussion, provide ideas, perhaps save you time (there may even be something worth cutting and pasting into an RFI).  The next post will describe the two main options of delivering data: Push or Pull.

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