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BIG DATA

The popularity of Big Data lies within its broad definition of employing high volume, velocity, and variety data sets that are difficult to manage and extract value from. Unsurprisingly, most businesses can identify themselves as facing now or in future Big Data challenges and opportunities.

What we offer as a Big Data Service Offerings

Prescriptive Services

Prescriptive – This type of analysis reveals what actions should be taken. This is the most valuable kind of analysis and usually results in rules and recommendations for next steps.

Predictive Services

Predictive – An analysis of likely scenarios of what might happen. The deliverables are usually a predictive forecast.

Diagnostic Services

Diagnostic – A look at past performance to determine what happened and why. The result of the analysis is often an analytic dashboard.

Descriptive Services

Descriptive – What is happening now based on incoming data. To mine the analytics, you typically use a real-time dashboard and/or email reports.

Key features

  • Better decision-making – Corporate decision makers will no longer have to make important business decisions based on limited data and hunches. Data warehouses store credible facts and statistics, and decision makers will be able to retrieve that information from the data warehouse based on their personal needs. In addition to making strategic decisions, a data warehouse can also assist in marketing segmentation, inventory management, financial management, and sales.
  • Quick and easy access to data – Speed is an important factor that sets you above your competitors. Business users can quickly access data from multiple sources from a data warehouse, meaning that precious time won’t be wasted on retrieving data from multiple sources. This allows you to make quick and accurate decisions, with little or no support from your IT department.
  • Data quality and consistency – Since data warehouses gather information from different sources and convert it into a single and widely used format, departments will produce results that are in line and consistent with each other. When data is standardized, you can have confidence in its accuracy, and accurate data is what makes for strong business decisions.

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