Business Analytics

When Should the Service Be Used?

A few considerations should be made before entering into the discussion of when a Business Analytics solution should be put in place, and most of them primarily include establishing its main differences against Business Intelligence tools.

Business Intelligence (BI) is data-driven decision-making. It includes the generation, aggregation, analysis, and visualization of data to inform and facilitate business management and strategizing. Also, BI is not strictly technological; it involves the processes and procedures that support data collection, sharing, and reporting, all in the service of making better decisions. Likewise, BI tools allow business users to generate their own reports and visualization dashboards to increase its business value.

Business Analytics (BA) is all the ways you can break down the data to assess trends over time. It usually includes the various ways the data is visualized to make the trends and relationships intuitive at a glance.

If BI is about making decisions, analytics is about asking questions. Business Intelligence is looking in the rearview mirror and using historical data from one minute ago to many years ago. Business Analytics is looking in front of you to see what is going to happen. This will help you anticipate what’s coming, while BI will tell you what has happened.

This is a very important distinction as both will provide you with different, not less, insights. BI is important to improve your decision-making based on past results, while BA will help you move forward and understand what might be going to happen.

That said, organizations today need insights into markets, customers and their own internal processes to stay ahead of competition and to deliver sustainable business performance. There is a need to go beyond the habitual approaches to data. For quicker and better decisions, it is imperative to survive with, and build on, the high volume and velocity of real-time structured and unstructured data in its different formats.

Recent studies categorized Digital Transformation into 3 types of initiatives: Customer Experience, Operational Processes, and Business Models. There is no doubt that Business Analytics is an essential part of the technologies set used to dramatically reduce the cost of operations and increase the efficiency of processes.

Service Scope

C2S Consulting's  Business Analytics services have helped innumerable clients expand and improve their structured and unstructured data usage. Our professional team makes it easier for corporations of all sizes to gain fast and efficient access to their data while enabling them to understand, analyze, and leverage it for ongoing success.

We provide full support to all stages of Business Analytics  lifecycle, including planning, designing, building, and deploying.

Our Business Analytics services include, but are not limited to:

  • Determining the needs and overall scope of our client’s Business Intelligence project.
  • Developing and implementing a roadmap for proper data governance and management to ensure all data is leveraged in the most efficient and effective manner.
  • Completing data warehouse development, design, and upgrades.
  • Implementing data integration services, both on premise and on cloud.Spearheading Advanced Extract-Transform-Load (ETL) designs, development, and optimization.
  • Preparing customized and interactive business operations reports based on our client’s specifications.
  • Developing and building the data warehousing foundation on which third-party service tools inhabit.
  • Writing and managing queries against the data warehouse to archive data, add partitioning, and remove compressed data.
  • Multidimensional Online Analytical Processing (OLAP) analytics and cube design.

These services rely on a robust experience on IBM Business Intelligence and Business Analytics tools, such as:

  • Cognos Business Intelligence
  • IBM Data Management – DB2
  • Unified Governance – Data Integration – IBM InfoSphere DataStage
  • Unified Governance – Data Integration – IBM InfoSphere QualityStage
  • IBM InfoSphere Identity Insight


Business Analytics revolves around one of the most important assets of a company: their data. Here is a summary of a few benefits of implementing this kind of solutions:

  • Employees are empowered to improve the bottom line
  • Lasting changes occur from bottom up, rather than top down
  • Managers reduce the stress of micromanaging
  • It’s easier to have business stakeholders making predictive decisions
  • Data improves communication by focusing on facts rather than subjective experiences
  • The business can test actions repeatedly
  • Business history is saved to help future predictions
  • Growth of the company no longer relies on gut instinct
  • BI/BA creates a competitive edge over the competition
  • Business units have fast, efficient and agile reactions when a problem occurs