Cross-Tab: Data Analytics
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Cross-Tab - outsourced data analytics services “Uses knowledge discovery techniques on
domain specific information to detect trends
or patterns, thereby deriving insights
and drawing conclusions”
outsourcing solutions
Advanced Data Analytics and Data Mining

Cross-Tab’s Advanced Data Analytics offering analyzes and explores structured, domain-specific information using knowledge discovery techniques to detect trends or patterns, thereby deriving insights and drawing conclusions. It is an interactive, on-going process that includes communicating findings and effecting change.

We analyze data and provide information/recommendations in accordance with specifications regarding content, formats and time schedules provided by our client. Our outsourced data analytics services have benefited global clients to support their strategic decision making and to scan their business performance.

The deliverables of our outsourced data analytics services can be categorized into:

Strategic data analytics that will have impact on business strategies. These could be need-based.
Monitoring services to deliver summary reports, multi-dimensional analytical reports, charts and exception reports with comments to support assessment of business performance. These could be ongoing assignments with periodical (daily, weekly, monthly) deliveries.

The above is achieved with the right combination of:

Tools: Most of our analysis is undertaken using SAS, SPSS Clementine, Quantum, Quanvert, Wincross, Insightful Miner, and XLMiner.

Techniques: Our sophisticated data analytics procedures utilize a wide variety of statistical methods and models. Some of the many techniques we use, include: Multivariate Analysis – methods include OLS regression, multiple regression, Statistical Tests - Chi-Square Testing, Analysis of Variance, t-test, z-test etc, Factor Analysis & Market Segmentation, Conjoint Analysis, Discrete Choice Modeling, Key Driver Analysis, Multiple and Logistic Regression, Discriminate Function Analysis, Cluster Analysis, and Multidimensional Scaling.

Reporting: Most of our reporting, ad-hoc or ongoing, is in the form of Excel Spreadsheets, PowerPoint Presentations, PDF files, files in any database format or via the web - Cross-Tab Portal for Survey Results, Analysis, and Reports.

Action: We evaluate the results against the project objectives, the organization's overall strategy and business objectives, so that the results can be translated into action. Armed with this business intelligence, the client can gauge their company's performance, identify weak points, take advantage of competitive strengths, anticipate trends, reassess their business strategy, and chart a course leading to competitive advantage and increased shareholder value.


Case Study
Study type: Customer segmentation and predictive modeling
Client: Online Retailer
Nature of the project: Handling of huge transaction database and providing analytical insights for actionable strategies

What we did: Data processing for statistical analysis and data mining algorithms carried out using SAS, SPSS and Clementine (Data Mining software from SPSS Inc)

How did this help the client: Client was able to identify the loyal/profitable group of customers and was also successful in increasing customer's bill value using service bundling


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  Survey Programming  
Global Data Collection
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  Data Processing & Analysis  
Advanced Data Analytics
  Reports & Presentations  
  Case Studies  
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