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Ingesting business data and presenting it in user-friendly forms such as reports, dashboards, charts, and graphs is known as Business Intelligence (BI). To access different types of data, BI solutions make trucking accounting software, both third-party and in-house, and semi-structured and unstructured data such as social media accessible to business users. This includes historical and current trucking industry data. Users can analyze this data to better understand how the business is doing.

While business intelligence doesn't advise business users what to do or what will happen if they follow a particular path, BI doesn't just produce reports, CIO magazine explains. People can use Business Intelligence (BI) to identify patterns and gain new insights from their data. 1

With insights gained through business intelligence and data analytics, organizations can improve their business choices, uncover problems or issues to address, identify market trends, and uncover new revenue or opportunities.


Data warehouses have long been the basis of business intelligence systems. A data warehouse is a centralized system that collects and organizes data from many sources to support business analytics and reporting. To provide business intelligence, the software searches the warehouse for relevant data and then displays the results in reports, graphs and maps for the user.

Online analytical processing (OLAP) engines can be included in data warehouses to enable multi-dimensional queries. Sales in our Eastern and Western regions compared to the previous year, for example.

According to IBM Product Manager Doug Dailey on his Data Warehousing blog, “OLAP offers robust technology for data discovery, enabling business intelligence, sophisticated analytical calculations, and predictive analytics. To improve product quality, customer interactions, and process improvements, one of the significant advantages of OLAP is the consistency of the information and calculations it uses.

Newer business intelligence systems, such as Hadoop, can directly extract and ingest raw data. However, for the most part, data warehouses remain the preferred source of data for most businesses.


To profit from operations and processes, organizations need to understand their consumers and the market in order to make informed decisions about their improvement. They need the right tools to collect and analyze data from a variety of sources to identify patterns and responses.

When it comes to making decisions, the best BI software helps you by:

  • connect to many data systems and data types, such as databases and spreadsheets.
  • Giving customers access to deep analytics, which helps them uncover hidden patterns and connections in their data.
  • Use data visualizations such as reports, maps, charts, and graphs to provide educational and engaging responses.
  • The ability to compare data side-by-side in various situations.
  • The inclusion of drill down, drill down and drill down functionality allows users to dig deeper.

Artificial intelligence (AI) and machine learning can be integrated into advanced BI and analytics systems to simplify and automate complex processes. These features help businesses better manage their data analytics and get deeper insights faster.


Maamar Ferkoun writes in his IBM blog on cloud computing and business intelligence that “business intelligence offers historical and current information about the company”. “This is made possible by various tools and techniques, ranging from analytics and reporting to data mining and predictive analytics. It gives organizations the ability to create business strategies using accurate data as it gives them an accurate picture of their business at any given time.

  • Data-driven businesses, performance improvement and competitive advantage are all made possible through business intelligence. They are able to:
  • Improve return on investment (ROI) by knowing your business and wisely deploying resources to achieve your strategic goals.
  • Analyze consumer behavior, tastes and trends to better target prospects and adapt products to changing market demands.
  • Using data insights, monitor and continuously fix or improve business processes.
  • Monitor and communicate results with partners and suppliers to improve supply chain management.

Comparing performance and benchmarks across stores, channels and geographies, for example, can help retailers save money. With a clear view of the claims process, insurers can identify areas where they are failing to meet service goals and remedy the situation.