Data, Data Everywhere

We work with organizations at all stages of data and analytics maturity to drive smarter decisions, enable faster actions and optimize operations.


Organize Your Data for Success

The overwhelming pace of data creation is resulting in information overload. IT departments are struggling to harness the constant flow of ever increasing data. Business users are struggling to make better decisions without drowning in data.

Our data management framework will enable technology departments to optimize investments in data management and will enable business users to structure data around business issues for faster contextual analytics.

Data Governance

Data governance includes creation of data strategy, business-driven data policies, cross functional processes, data definitions, business rules, data access and privacy policies.

Data Integration

]Data integration services bring together data from disparate sources to generate new insights e.g. Retail data is merged with supply chain data to provide opportunities for channel optimization.

Data Transformation

Data transformation services generate new insights from existing data e.g. unstructured social media data can be converted to structured data for faster insights on social media trends.


Generate Actionable Insights

Data mining is the science of applying quantitative techniques to data in a business context. This multi-disciplinary function gis aimed at answering forward looking business questions such as: What do I need to do to optimize future performance?

Data mining models are group into 3 categories based on the nature of business questions and the statistical techniques used.

Descriptive Modeling

Descriptive modeling identifies hidden associations in data by using statistical tools and techniques e.g. behavioral segmentation to identify customers with similar usage patterns so that marketing offers can be targeted to the right customers.

Predictive Modeling

Predictive modeling identifies associations in past data to predict the likelihood of future events e.g. a logistic regression based predictive model to identify the probability that a customer will cancel their service within the next billing cycle.

Prescriptive Modeling

Prescriptive modeling recommends a course of action based on cause and effect relationships in data e.g. a media mix optimization model aimed at minimizing advertising cost while achieving the targeted audience per channel.


Implement Best Practices

Many organizations have invested in data science capabilities, but are struggling to create business value with this investment. We can assess your existing data science capability, develop a roadmap to achieve data science maturity and implement results driven initiatives create tangible business value.

Maturity Assessment

Assess the maturity of your data science capability against industry benchmarks. Identify strategies and best practices to achieve a higher maturity level.

Data Science Roadmap

Create a vision for your organization and identify the projects, dependencies, resources and skillset to create business impact and achieve data science leadership.

Industry Use Cases

Identify and manage results driven initiatives to demonstrate business value of data science and gain stakeholder support for investments in data science capabilities.