Mining Big Data for Customer Insights

IPR’s team of analysts can transform your large, streaming, data from bits into informed decisions.

When it comes to “Big Data,” it seems like there are lots of choices available in data management systems, analytical tools, and analytic partners. IPR’s crew of analysts stand apart, able to separate the signal from the noise, aggregating ALL your data sources to produce a clear and insightful picture. We’re experienced with large databases and how to mine them to our client’s best advantage. We’ll analyze your data to test hypotheses, find patterns, and make data-driven recommendations.

The bottom line, however, is that even the most technologically elaborate database system or machine learning toolkit is useless without a clear business objective. Your analytical results won’t translate into actionable items unless they are both internally consistent and address your overarching needs. IPR distinguishes itself from other vendors by our skill and expertise at combining insights from disparate types of information – demographics, primary research, economics, public data sources, a client’s own experience, and the messages inside Big Data–to create that bigger picture and internally consistent story.

Talk to IPR about synthesizing ALL your data sources into one coherent picture.

What Does “Big Data” Mean to IPR?

IPR defines the term to refer to extremely large data sets that may be analyzed computationally to reveal patterns, trends, and associations, especially relating to human behavior and interactions. Big Data might exist as a static snapshot with a fixed set of records and fields or Big Data may exist as a lot of unstructured digitized elements. Whatever the structure, IPR’s team has the capabilities to reveal the important patterns, trends, and associations.

Can IPR Apply Machine Learning Tools?

In brief, ABSOLUTELY! But let us point out that there’s a lot of misunderstanding in the use of the term. Machine learning isn’t magic. Results are usually unsatisfactory without at least some element of knowledgeable human assumption (if only as to the choice of model parameterization). Moreover, very often speakers use of the term “machine learning” in reference to relatively old and well established statistical techniques that have been dusted off for their application to new “Big Data.” IPR is well experienced in both supervised and unsupervised learning algorithms including clustering techniques, generalized linear models (including regression techniques), neural networks, dimension reduction techniques, hierarchical modeling and Bayesian tools. We can combine the right tool with in-depth industry knowledge to address your business objective.

Ask IPR for our “war stories” in extracting unexpected insights using machine learning tools.

What Will IPR Recommend for YOUR Company’s Database Application?

Of course every company is different, but database needs often (but not always) fall into recognizable patterns.

  • What is the nature of the data you want to collect?
  • How often is it to be updated?
  • Why are you collecting data?
  • What do you expect to accomplish?
  • What decisions do you need to make?

Answers to these questions will enable IPR to recommend the right solution for YOUR specific needs—be it a relational or a non-relational database, in a managed or a virtual environment.

Talk with IPR about YOUR database needs.

Can You Help Visualize My Big Data?

From the first time our ancestors painted petroglyphs we’ve recognized that pictures can convey more information than words. Your own big data efforts are more easily justified, your insights more easily conveyed, when your VP can “see” the results. Visual dashboards, updated in real-time, can satisfy this need.

Watch your boss’s eyes light up using a real-time dashboard developed by IPR.