Big data means big headache, right? However, with business intelligence tools, you can get maximum value from big and unorganized data and make informed decisions based on business data analytics.
The more data you have, the more informed decisions you make. However, is it easier to make them when you have to deal with big and unstructured data? Definitely it isn’t: more raw data means more uncertainty.This is where business intelligence tools come in handy: they help structure the data and reveal important trends. We prepared a list of the most popular and efficient ones.
1. Sisense
One of the most popular tools that collect and organize business data from multiple sources. Sisense uses built-in connectors to retrieve the data from databases, systems and services used by the company, and doesn’t require special tech skills to combine large data sets. The tool visualizes data sets in an easy way by creating dashboards and charts.
2. Qlik
Qlik offers business data collection and visualization features, allowing to explore them in a quick and easy way. Unlike query-based systems with predefined limits, this tool provides an associative engine. It helps collect and organize even incomplete and inaccurate data, and reveal relationships within specific data sets. This means no blind spots in your resulting data, more accurate analytics, and more informed decisions.
3. Birst
Birst is a cloud business intelligence service. It provides access to all data and metrics from anywhere, and allows users and teams to share findings and insights. The tool is helpful for business owners, team and project managers, and anyone who needs to quickly analyze business data and make data-driven decisions.
4. Dundas BI
Dundas BI is a data visualization tool that organizes large and unsorted data into dashboards, reports and charts. Being flexible, it suits virtually any business and offers great user experience. Its newest version has advanced visualization options, such as various chart types and heat maps. Its functionality also includes predictive analytics, which is essential for forecasting.
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5. Domo
Domo, with its 500+ data connectors, is a single platform to run the entire business and make efficient decisions. As its creators state, the tool turns the data into the fuel that drives business. It refreshes data in real time and sends predictive alerts when your attention is needed. What’s more, it offers mobile apps that allow access to data analytics from anywhere.
6. Pentaho
The tool is designed to get maximum value from the company’s big data. It integrates, structures, and visualizes the information from all systems used in the company. Basically, it turns raw data into visual analytics, and is helpful for reporting, decision-making, analysis, and forecasting. Pentaho is focused on the Internet of Things, so it can process the data coming from machines, sensors, and other connected devices.
7. Spotfire
This product for data discovery offers visual, AI-driven, geo, and streaming analytics. Its features include visual data discovery, data wrangling, predictive analytics, and more. The tool helps reveal important trends, spot data inconsistencies and deficiencies, and include location into your analytics. As it works with big data, its advantages are speed and accuracy of data shaping and analysis.
8. Microstrategy
Microstrategy offers actionable intelligence data for businesses. Providing enterprise reporting and data discovery features, it helps make data-driven decisions and maximize the value of every investment. Detailed metrics, combined with interactive elements and self-service analytics, allow data access for multiple teams, help boost productivity, and get value from all available data.
9. actiTIME
actiTIME, being a time-tracking and work management solution, provides companies with informative data sets. Its charts and reports provide decision-makers with crucial business information and give insights into important trends within the entire company and specific teams. Easy to deploy and use, this tool boosts efficiency of decision-making with actionable data on billing, employee productivity, time and money expenses.
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