Copyright Qode Interactive 2016

Business Intelligence/Analytic

Business Intelligence/Analytics

Business Intelligence (BI) is the lifeline of organizations today. Organizational decision making has transformed aggressively by virtue of data that produces value. Analytics driven from BI, helps your organization create a framework that transforms data into information, to measure company performance across the board. Further, the advent of social media, and impact analysis based on relativity, has ignited the real quest to envelope Big Data, for deeper understanding and valuable insight.
Opportunities have emerged due to these new data sources. It has created the potential for even greater value based on a deeper understanding of customer attitudes and behaviors. The challenges, however, also have increased due to the complex organizational, business and technical issues involved, and big data has added a new layer of complexity.
Data stewardship, quality and governance, combined brings, resources and processes together, to ensure that organizations are making the optimum decisions, based on consistency of timely, and accurate information.

Experience

We have helped large organizations to lead in their respective sectors, by assessing their readiness for business intelligence Initiatives, and aligning them to intended objectives.
Typically our roll out is based on the following:
Organizational Assessment & Business Objectives
Data Modeling (Warehouse Design)
Identification of Data Sources, Model Integration & Transformation
Model warehouse for facts (measures), and dimensions (context)
Organize or Mine Data for Predictive Analytics or Decision Support Systems
Reporting & Analytics by using various visualization techniques.

Approach

Emmaculate’ consultants will work with you to assess, identify challenges, determine or design a solution, and implement it, using industry best practices.
We have consistently driven value for our customers to fulfill their objectives.
Our approach focuses on the following key areas:
Core Data Modeling
Design Data Marts
Aggregate Data from sources
Transform Data
Populate Data for Objectives (OLAP Cubes)
Data Visualization