Business Analytics

Empower your organization by bringing analytics closer to the business stakeholders. Business analysts act as a bridge for the business to leverage data to their decisions through a mix of business, data and analytics acumen.

Services

Our Business Analytics services

Data visualization

Studies show that the human mind processes visual information up to 60 000 times faster than  text. Data Visualization is more than simple data analysis, it is the art of representing the data in a understandable, easy and unambiguous manner.

Effective data visualization allows business decision makers to get insights quickly from large amounts of data. We provide our  expertise to help define relevant KPIs and tailored data visualizations to enable users to look beyond the numbers.

Data Warehousing & DATA PROCESSING

The (Cloud) Data Warehouse has become a core tool for data analytics and business intelligence related applications. Its purpose directly enables data people along with the business to  turn data into insights and make data-driven decisions.

Business data analysts jump in as a bridge for stakeholders to understand the data and turn it into knowledge to make strategic business decisions. ETL (Extract, Transform, Load) is  the most common paradigm in BI to consolidate data from multiple sources and shape it for analytics.

Data exploration, cleaning & ANALYSIS

Organizations confirm it, quality does not come by itself with big data. Data-driven decisions only win when understood and of quality.  Exploratory data analysis and cleansing are fundamental stages to  derive the insights hidden and cluttered in the vast amount of data.

Marketing analytics

target the right person with the right information at the right time, right? Customers don’t expect personalization anymore,  they demand it. Data analytics can empower your marketing strategies by managing, analyzing and evaluating their performance.

 

ETL Process

ETL stands for « extract, transform, and load. »

Big Data scattered across data sources isn’t of much use for business-related analysis when kept in their raw formats.

ETL process helps in consolidating, validating and transforming data stored across different sources into a centralized, standardized and cleaned repository (i.e. Data Warehouse).

Ready-to-analyze datasets is a competitive advantage for fast business-related decisions.