Data Bolster

DataBolster

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    • Home
    • Our Services
      • Data Warehouse
      • Datamart
      • Data Transformation
      • Data Mapping & Migration
      • Data Profile & Enrichment
      • Data Cleansing
      • Data Analysis
      • Dashboard & BI
    • Industries
    • Our Product
    • Contact Us
Data Bolster

DataBolster

  • Home
  • Our Services
    • Data Warehouse
    • Datamart
    • Data Transformation
    • Data Mapping & Migration
    • Data Profile & Enrichment
    • Data Cleansing
    • Data Analysis
    • Dashboard & BI
  • Industries
  • Our Product
  • Contact Us

Dashboard / Report

A dashboard is a visual interface that displays key metrics, data points, and insights in a structured and interactive way. It help users monitor, analyze, and make data-driven decisions at a glance. Dashboards are commonly used in business intelligence (BI), marketing, finance, and operations to track performance.


Types of Dashboards:

  • Operational Dashboard – Monitors real-time data for day-to-day operations.
  • Analytical Dashboard – Provides deep insights and trends using historical data.
  • Strategic Dashboard – Used by executives to track key performance indicators (KPIs).
  • Tactical Dashboard – Helps mid-level managers make short-term decisions.


Key steps to Build a Dashboard

  • Define Your Objectives
  • Collect & Prepare Data
  • Clean the Data
  • Choose the Right Visual
  • Design the Layout
  • Integrate Data & Automate Updates
  • Test & Validate
  • Deploy & Share the Dashboard

Business Intelligence (BI)

The core benefits of BI and analytics are speed and agility, allowing businesses to process multiple data streams faster through an intuitive dashboard. The resulting information can be used for identifying trends and opportunities, also for monitoring performance in real time. By providing stakeholders and users with these detailed insights and forecasts, BI and analytics enable more informed business decisions


Key Components of BI

  • Data Collection & Integration – Gather data from different sources (databases, spreadsheets, APIs).
  • Data Warehousing / Datamart – Store data in a structured way
  • Data Analysis – Use tools like SQL, Power BI, Tableau, Looker, or Excel to identify and analyze trends.
  • Data Visualization – Create dashboards and reports with charts, graphs, and KPIs.
  • Decision Making – Use insights to improve business strategies.

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