Business Intelligence

"Business Intelligence (BI) pertains to the technologies, applications, and practices for the collection, integration, analysis, and presentation of business information, aimed at supporting better business decision-making."

Amol Malpani (CTO, Cloudaeon)

Key Use Cases
  • Operational Reporting: Daily, weekly, or monthly reports on business operations.
  • Sales & Revenue Analysis: Understanding sales trends, forecasting, and recognizing high-performing products.
  • Customer Insights: Analyzing customer behavior, segmentation, and retention.
  • Supply Chain Analysis: Evaluating supply chain efficiency and identifying potential bottlenecks.
  • Market Analysis: Scrutinizing market trends and competitive standing.
Key Benefits
  • Informed Decision Making: Decisions become data-driven, rather than based purely on intuition.
  • Time Savings: Automation and BI tools significantly reduce the time spent on manual data analysis.
  • Problem Identification: Through analytics, potential issues are highlighted before they become larger problems.
  • Forecasting: Predictive analytics provides insights into future trends or occurrences.
  • Transparency: Accessible data and clear reporting facilitate better internal communication and understanding.
What We Offer
  • Reporting Tools: Creating structured reports and dashboards based on analyses.
  • Data Collection & Integration: Collecting data from varied sources and integrating it.
  • Data Warehousing: Storing data in a structured manner, often in a centralized repository.
  • Data Cleaning & Transformation (ETL processes): Extracting, transforming, and loading data to refine and prepare it for analysis.
  • Data Analysis: Using statistical and computational methods to interpret and understand data.
  • Data Visualization: Graphically representing data for easier understanding.
  • Advanced Analytics: Including predictive analytics, data mining, and big data analytics.
  • BI Software Platforms: Tools and platforms like Tableau, Power BI, and QlikView that enable the above functionalities.
How We Work
  • Determine Objectives: Define the business questions or challenges to address.
  • Data Collection: Source relevant data from internal systems, third-party applications, or external datasets.
  • Data Integration: Merge and unify data from different sources.
  • Data Cleaning: Rectify missing values, inconsistencies, or anomalies in the data.
  • Data Analysis: Employ statistical, computational, or AI methods to uncover insights.
  • Visualization: Represent findings using charts, graphs, and other visual aids.
  • Reporting: Draft structured reports or dashboards to communicate findings.
  • Iterate & Refine: As new data or objectives emerge, adjust analyses, visualizations, and reports accordingly.

Managed Services

  • Data Infrastructure Management: Setting up and overseeing data storage, databases, and data lakes.
  • ETL Services: Managing and optimizing data extraction, transformation, and loading processes.
  • Data Quality Assurance: Implementing tools and processes to maintain high data quality.
  • BI Platform Setup and Customization: Configuring and customizing BI tools to fit the specific needs of the enterprise.
  • Advanced Analytics Solutions: Incorporating AI and machine learning models for predictive and prescriptive analytics.
  • Training and Support: Educating the client's team on best practices and offering ongoing technical support.
  • Security and Compliance: Assuring that data handling and analysis conform to industry standards and regulations.
  • Dashboard and Report Design: Creating visually appealing and informative dashboards and reports tailored to the client's needs.

Readiness Check

In 10 minutes, get a score to assess your Readiness & Maturity. You'll get a clear score to help your identify areas of improvement.

Getting Started

If you are ready to engage with us and would like do dive deeper into the subject, go ahead and book in a Discovery Workshop with our Practice Leads.