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Welcome to Frontline Technologies.

What is BI Solutions?

Business intelligence (BI) is a technology-driven process for analyzing data and delivering actionable information that helps executives, managers and workers make informed business decisions. As part of the BI process, organizations collect data from internal IT systems and external sources, prepare it for analysis, run queries against the data and create data visualizations, BI dashboards and reports to make the analytics results available to business users for operational decision-making and strategic planning.

The ultimate goal of BI initiatives is to drive better business decisions that enable organizations to increase revenue, improve operational efficiency and gain competitive advantages over business rivals. To achieve that goal, BI incorporates a combination of analytics, data management and reporting tools, plus various methodologies for managing and analyzing data.

Why business intelligence is important?

Overall, the role of business intelligence is to improve an organization's business operations through the use of relevant data. Without BI, organizations can't readily take advantage of data-driven decision-making. Instead, executives and workers are primarily left to base important business decisions on other factors, such as accumulated knowledge, previous experiences, intuition and gut feelings. While those methods can result in good decisions, they're also fraught with the potential for errors and missteps because of the lack of data underpinning them.

Benefits Of Business Intelligence:
   Speed Up and improve Decision-Making
   Optimize Internal Business Processes
   Increase Operational Efficiency And Productivity
   Spot Business Problems To Be Addressed
   Identify Emerging And Market Trends
   Develop Stronger Business Strategies
   Drive Higher Sales And New Revenues
   Gain A Competitive Edge Over Rival Companies

Data Visualization
Data visualization is the presentation of data in a pictorial or graphical format. It enables decision makers to see analytics presented visually, so they can grasp difficult concepts or identify new patterns.
Predictive Analysis
Predictive analytics is the process of using data analytics to make predictions based on data. It uses data along with analysis, statistics, and ML techniques to create a predictive model for forecasting future events.
Data Warehousing
A data warehouse centralizes and consolidates large amounts of data. Its analytical capabilities allow organizations to derive valuable business insights from their data to improve decision-making.
Data Governance
A well-crafted data governance strategy is fundamental for any organization that works with , and will explain how your business benefits from consistent, common processes and responsibilities.
Data Integration
Data integration occurs when a variety of data sources are blended into a single database, offering users of that database efficient access to the information they need. Collecting significant amounts of data might not be much of a challenge in the modern world, but properly integrating that data remains difficult in some circumstances.