Modern Enterprise Data Warehouse – Adding economic value to data

A paradigm shift in how data is acquired, processed and consumed

In this connected world, it is not just people and devices that are connected but also the markets, assets, infrastructure, fleet, products and customers are connected by some means. Every click and tick on the clock is creating digital footprint resulting in a large volume of useful information. However, not all of it is acquired/stored, processed or consumed to its potential.

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Implementing Analytics to deliver Internal Audit

“I do not believe you can do today’s job with yesterday’s methods and be in business tomorrow,” Nelson Jackson, automobile pioneer

The availability of large volumes of data is changing the way organizations look at most of their business processes and functions. In the context of internal audit (IA) also, new ways are coming up to utilize the power of analytics. To stay competent and ahead of the curve, the organizations should ask themselves the following questions — Is their organization still relying on traditional methods for its IA process? Does their IA methodology incorporate analytics? If yes, to what extent?

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Think “Smart” Data Analytics before you think “Big” Data Analytics…

Big Data is typically explained via 3Vs – Volume (2.5 Quintillion Bytes of data are estimated to be created every day), Variety (data from all possible source from structured to unstructured) and Velocity (tremendous speed of generating data due to increasing digitization of society).

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