Analytic Solutions

Connecting business analysts and decision makers to data, regardless of size, format, or physical location.
Big Data Analytics Solution
Put all available data in the hands of line of business analysts who are most familiar with the day-to-day business challenges.
Big Data Analytics with Hadoop
Query Hadoop data and integrate it with any other data source to build exactly the dataset needed for analysis.
Big Data Analytics with R
Apply the power of the R statistics and predictive language to your largest and most sophisticated data assets.
Customer Analytics Solution
Unify prospect and customer data from all channels and systems to create stronger, longer lasting relationships.
Customer Churn Analytics Solution
Combine all customer data to predict their service experience and propensity to churn, and take preventitive action.
Data Blending Software
Access, cleanse, and blend data from multiple sources using drag-and-drop tools with no coding required.
Data Preparation Software
Alteryx empowers data analysts with the tools to maintain control, while accelerating the data blending process.
Data Profiling Software
Understand the health and quality of a dataset prior to building models with Data Profiling.
Data Visualization Software
Deliver the best possible dataset to market-leading visualization products such as Tableau, Microsoft, and Qlik at a fraction of the cost of other solutions.
In-Database Processing
Accelerate the preparation, blending and analysis of large sets of data without moving the data out of a database.
Midsize Business Analytics Solution
Get the rich business insights accessible to your larger competitors. Handle big data without spending big bucks.
Predictive Analytics Software
Move past backwards looking business intelligence and improve future outcomes through easy to use predictive analytics.
Salesforce Analytics Integration
Enrich CRM data with demographic, firmographic, segmentation, and geo-spatial data, then anticipate customer behaviour.
Spatial Analysis Software
Blend spatial data with traditional datasets to drive greater efficiencies, improve operations, and enhance profitability of service, marketing or asset location strategies.