Business Intelligence

Business Intelligence

To invest in business intelligence services is to invest in your company’s growth. By identifying market trends, analyzing consumer behavior and optimizing actionable data, understand your business’ strengths and overcome future challenges through informed decisions.

Services

Our BI consulting solutions and services are underpinned by extensive research, business domain expertise, and skillful analysis. Gain a competitive edge in the market by leveraging valuable insights through a combination of BI and Data Analytics, as well as modernize your BI infrastructure and practices.

Business Intelligence Consulting

Often enough, businesses have a great BI vision but face critical challenges when it comes to execution. Our experts help clients through a result-oriented BI strategy with clear roadmaps that cater to the business’ needs, from data warehousing, analysis, system optimization, quality assurance to effective implementation.

Data Warehousing

The architecture of a data warehouse determines the quality of reporting, analysis, performance and implementation of the designed BI strategy. Through ETL processing and data modeling, we consolidate relevant and accurate data in the client’s preferred formats, eliminating inconsistencies and duplication while following best practices for security and governance.

Data Visualization

A coherent graphical representation of data helps you filter through the good, bad and ugly aspects of it, by conveying complex concepts in a simple, visually appealing format (graphs, charts, maps, infographics etc.) On an interactive dashboard, businesses can explore data creatively to discover new patterns, trends, and insights that facilitate quick decision-making, business strategizing and expansion.

Analytics and Reporting

Our proficiency lies in creating OLAP multidimensional data models with centralized systems that can deal with large volumes of data and calculations, perform ad hoc analysis and provide quick responses to end-user queries. By eliminating clutter and segregating accurate data, we make the data available in a meaningful and understandable form through comprehensive reports.

Data Mining

Data Mining is the keystone of BI analytics and reporting. The process involves collecting, organizing, and sorting large amounts of legitimate data to collate important information. This helps business analysts find anomalies and correlations in data, conduct research, find new business opportunities, run marketing campaigns and eventually, supersize revenue growth.

Business Intelligence Consulting

Often enough, businesses have a great BI vision but face critical challenges when it comes to execution. Our experts help clients through a result-oriented BI strategy with clear roadmaps that cater to the business’ needs, from data warehousing, analysis, system optimization, quality assurance to effective implementation.
Our Process

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.

  • Identify Goals
    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.
  • Explore Data
    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.
  • Analyse Data
    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.
  • Predict Outcomes
    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
  • Optimize
    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.
  • Update System
    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.