Thursday, April 1, 2010

Exploring a Datawarehouse

At times, business processes of any market scenario demands a data warehouse for its improvement. Targeted to align and conform the entire data at 'One place', these data warehouses, are needful in the areas of trend identification, situations leading to variabilities and many more.

In general, enterprises that start up to install a data warehouse for a process oriented data have drawn up to an end requiring two separate warehouses – A classic warehouse to reach the needs of a discrete data that is maintained mostly by the IT departments.
And a historian data warehouse handled by the engineering department, to keep hold of continuous data.

However, situations may arise, wherein users require both types of data to meet specific requirements that bring together these two types of data. Faced with the increased mandates in the process knowledge areas and also the demand for the needs to access data from any manufacturing sources like enterprise analyzers, an increasing percentage of drug industry professionals find that traditional warehouses alone may not make sure to enable an Enterprise Manufacturing Intelligence -EMI.

Situations may arise where they add more price or may slow down at data access. Over the other edge, it may be a cost effective and also the required ETL - Extract/Transfer/Load processes may be expensive in order to develop and maintain a traditional data warehouse.

In addition, users of these traditional data warehouses need to define the context of the required information, that has a probability of leading to a specific hurdle in bio-tech, considering for example scenarios where splits and recombinations result at a tentative genealogy conditions.

An alternative to all such stated conditions can be found when observed at an Enterprise Manufacturing Intelligence(EMI) software where the systems are driven by a data access that is of lightweight , combined platform and having a dynamic mapping engine (DME) in place, that brings together single users nearer to the data they need for the interpretation and narrating as part of day to day activity. Lets explore more in these lines from our experts desk in the upcoming articles.

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