Analytic Services

Descriptive Analytics

When you need to discern the current state of business, whether it is a specific campaign or the company as a whole descriptive analytics has the answer. This information is useful in grading and/or deriving insights based on the performance of specific customer defined and industry specific points of interest. This can be considered Hindsight Analytics. Almost all traditional reporting such as sales, marketing, operations, and finance use this type of analysis.

Methodologies
  • Data Integration
  • Data Fusion and List Matching
  • Reporting

Diagnostic Analytics

Once you find out what is happening, you might ask yourself, “Why is this happening?” This is accomplished by detecting trends, outliers, and clustering to mention a few. Some techniques utilized are data mining, pivoting, aggregation, and list matching techniques to combine multiple data sources, internal or external. An example of this type of analysis might show that viewership to a TV show spiked because twitter mentions increased on a main character of the show.

Methodologies
  • Data Integration
  • Data Fusion and List Matching
  • Clustering
  • ANCOVA and ANOVA
  • Reporting

Predictive Analytics

A little insight into the future – Once all the data is collected and analyzed, predicting the future is a possibility. We can accomplish these predictions by feeding the data into multiple statistical methodologies (i.e. neural networks, regression models, ANCOVA, ANOVA, etc.) These models grade the probability of certain behaviors to occur.

Methodologies
  • Data Integration
  • Data Fusion and List Matching
  • Machine Learning
  • Reporting

Prescriptive Analytics

The last piece of the puzzle is often overlooked, but it is integral for a full solution. Prescriptive analytics goes beyond predicting future outcomes. It suggests what actions to take that benefit from the predictions, and it also shows the decision maker the implications of each decision option. Prescriptive analytics not only anticipates what will happen and when it will happen, but also why it will happen. Prescriptive analytics synergistically combines all the other types of analyses with business rules to lay out a road plan of actionable items to achieve the desired goal.

Methodologies
  • Data Integration
  • Data Fusion and List Matching
  • Machine Learning
  • Applied Statistics

DATA SOURCES

Nielsen

o AMRLD

o AdView

o NOL

o Buzz Metrics

o IAG

Social

o FanPage

o FaceBook

o Twitter

o Pinterest

o Karma

o Klout

Web

o Google Analytics

o ComScore

o Flurry

o MixPanel

Other

o CRMs

o ERPs

o Xcel

o GPS

o POS

o Census