Descriptive: 

  Operational Reporting 

  Process gap identification 

  Data culture

Prescriptive: 

  Optimization

  Scenario planning

  Data driven decision making 

  Data validated actions

Predictive: 

  Statistical Analysis

  Segmentation & Decision Trees

  Cause-effect modeling
 

Diagnostic: 

  Bench-marking

  Multi-dimensional analysis 

  Data backed management
 

Data Analytics - we expertise in a more effective and efficient analytics which form the backbone of the actionable data insights in-turn would help identify unwanted patterns and assist in simplifying decisions. Below are the AI/ML models that we build using R and Python.

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Custom Based Visual Analytic Solutions-

With the growing competition we give a lot of emphasis of empowering our customers with insights and interpretation from the data.  All our visuals and data representations ensure that they are 

    . Accessible on PHONE / IPad / Laptop etc

    . Device & platform independent solutions.

    . Are interactive in nature.

    . Prioritized & focused on key areas.

    . Appealing and Artistic.

Business Intelligence 

Reporting

By Implementing a business intelligence (BI) solution it can be a game changer for your organization by providing integrated insight into data from all corners of the business.

We follow the 5-Stage Phased Approach,

1. Gather your analysis and reporting requirements up front.

2. Break down the requirements into key business areas and phases.

3. Select the priority of phases.

4. Continually validate data.

5. Gradually roll it out to your departments.

When it’s all said and done, we know for a fact that BI is not a one-time project. It’s a living, breathing animal that requires constant care and feeding. As your business grows and changes, we will need to fine-tune your BI system to accommodate those new changes. And having an iterative deployment approach will make the project successful for you!

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Project Management​​

We develop methodology and process to meet your organizations needs by taking into account the size of your project portfolio, complexity and duration of projects/programs, and your current operational model (are you growing or are you contracting). It's important to have the right level of process, associated with the appropriate artifacts and tools, to enable your project teams to deliver. 

The deployment of methodology is not a one-time effort. Once you have a process and artifacts developed, they must be deployed. Different methods can be used to deploy new process and standards within an organization.

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