Adding insights to Data

Data is worthless until it has had some level of analysis placed against it. For an organisation, data has historically been used to understand where it has been, where it is now and where it will be going in the future. This uses the time dimension of data- but there is a lot more that should be considered.

The place dimension, velocity dimension can add immense power to data analysis – particularly when combined with other contextual data. But these can wait for my other posts. Now what is this DATA INSIGHT all about?
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SAP Hana is the answer….so what’s the question?

Using SAP Hana as a data warehouse

Enterprises are using SAP Hana for in-memory data marts and SAP Business Warehouse implementations that integrate with other data warehouses

Today, SAP Hana can be used in a wide range of capabilities and use cases, and it is fair to say that SAP is betting its future on the success of its new flagship technology. Of course, there are a number of other in-memory products available in the market, such as those from Oracle, IBM, Microsoft, Pivotal and Teradata, and analytics appliances as well as integration middleware or cloud services.
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What really is this HANA

SAP used to be database agnostic , that is to say the customer could choose the database that they had pre-invested in ( Oracle, SQLServer, MaxDB, DB2).  Can you imagine CFO of SAP looking flow through from SAP per-seat license cost, cutting really big cheques every quarter to competitors Oracle, Microsoft and IBM to license their database products.? Databases products that from a user functional perspective is simply invisible and irrelevant ! In effect sending money to competitors to which they spend improving their competing products. The business minds at SAP must have thought “can we find a way to keep that money inside of SAP? our own database solution?”
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