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Big Data Analytics

How can you realize the greatest value from big data?

Big data analytics is the use of advanced analytic techniques to process very large, diverse data sets and types. This includes structured and unstructured data, streaming and batch data, and the various sizes of data, from terabytes to zettabytes. Big data is a term applied to data sets whose size or type is beyond the ability of traditional relational databases to capture, manage, and process the data with low-latency.

Why Big Data Analytics?

For most companies, data is their most valuable asset. The inability of current data warehousing to store massive amounts of structured and unstructured data has led to a common practice of throwing away data in favor of what is currently needed to run the business.

Big-Data-Analytics-300x207-minPredictive Analytics has become table-stakes for nearly every company to remain competitive. The problem is that Predictive Analytics requires large amounts of data to be fully effective in driving business value. The more data a model consumes, the more accurate the results and the more compelling the ROI. It’s not just about the volume of data. It’s about the variety of data: structured and unstructured data.

If you are throwing away data because you’re current data warehouse has limited capacity, you are throwing away your ability to build a competitive advantage. Embracing a big data strategy now means you have the data you need to build a competitive advantage.

Of course, data without analytics is of very limited value. Big data analytics is about extracting actionable insights and operationalizing predictive analytics across massive data sets. QueBIT is focused on supporting both high-level strategic decision making and operational analytics where even the smallest of decisions are driven by analytics.

Supporting both macro and micro-level decision making with big data requires a highly scalable architecture and deep knowledge of data science.

QueBIT’s Technology Stack

QueBIT aims to drive maximum business value while minimizing costs. We do not believe in a one-size fits all solution. Our technology stack includes several options that include low-cost, open source technologies such as:

We also fully support a more user-friendly, commercially-supported, IBM-based technology stack:

Benefits of QueBIT’s Big Data Analytics

  • Preservation of all your corporate data to drive competitive advantages
  • A highly-scalable big data analytics platform that delivers results quickly
  • Cost-effective big data analytics stack on-premise or in the cloud
  • Maximum ROI through the incorporation of all available data to predictive models
  • Operational analytics that drive your business to the next level

Download QueBIT’s Big Data Analytics Brochure today!

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