Identify customers likely to leave, take preventative action.
Create meaningful customer groups for more relevant interactions.
Calculate how demand varies at different price levels, then combine that data with information on costs and inventory levels to recommend prices that will improve profits.
Predictive equipment failure, plan cost-effective maintenance.
Understand risk to manage it.
Convince customers to buy more.
Know what volumes to expect to improve planning.
Identify fraudulent activity quickly, and ent it.
Predict what your customers will buy, before even they know it.
Data management and BI analysis is a problem-solving exercise focused on the business’ specific goals. Our approach is accurate, methodical and targeted towards achieving meaningful outcomes through our impressive gamut of BI services.
At the initial stage, our experts identify the specific needs of the business, the problems to be addressed, the goals and desired outcomes. This analysis helps determine the kind of data required and its implementation process.
Expert business analysts collect data from various internal and external sources and explore it to find preliminary connections and relationships. Data profiling and cleansing is done as a crucial step towards accurate visualization.
The next stage is to employ statistical testing and analysis techniques to arrive at meaningful conclusions. Through pattern recognition and correlation analysis, we gather contextual data and constructive insights.
At this stage, we begin to draw informed conclusions about potential outcomes through various predictive methods. These decisions are further compared with the current values to examine errors and create the most accurate data models.
Once the predictive models are run, the best one with the lowest error rate is selected and optimized to achieve the desired outcomes. Considering the challenges and goals of the organization, the most advantageous solution is determined.
Deliver and Measure
This is the implementation stage where the selected model is strategically applied in the execution environment. In a timely manner, the results are measured thereafter, and based on the new insights, progress reports are made.
This is a continually evolving system and with every bit of new information and insights, the knowledge base is updated and reworked. This ensures that the implementation remains effective, yielding higher ROIs with greater competency.