Different organizations will invest in a business intelligence (BI) solution for different reasons, depending on their specific circumstances and industry.
Today’s businesses are under constant pressure to keep up with the latest changes in their industry. This pressure has led to the development of business intelligence (BI) solutions, which allow businesses to gather, analyze, and manage data more effectively.
Investing in a business intelligence platform provides a comprehensive set of tools and features that allow more people to analyze data, make decisions, and improve operations.
Regardless of individual agenda, here are 12 features you should insist upon in any BI solution you consider, no matter the circumstances of its particular application.
1. Executive dashboards
A personalized business intelligence dashboard delivers relevant, easily understood real-time data to business leaders, enabling faster and better decision-making whilst lowering response times to internal and external events.
Executives need access to personalized dashboards that deliver easy-to-understand KPIs and summary information on a regular, scheduled basis.
Why? Because personalized BI dashboards allow executives and business users alike to quickly and easily see the data that is important to them, and make critical decisions based on that information. More importantly, they can consistently stay up-to-date on their company’s performance, all without having to sift through a pile of reports.
Additionally, exception reporting should alert the executive to unexpected events and scenarios that require action using automated analytics, also known as automated business monitoring.
Personalized data delivery using the automated analytics capability means executives are able to make decisions quickly, without any guesswork, and without having to wade through irrelevant information.
2. Location intelligence
Location intelligence is the ability to map and visualize data in geographical formats. It provides a real-time data stream that tracks the geographic location of customers, which can be a powerful tool for businesses.
With location intelligence, BI users can understand the patterns and trends in customer behavior, which can help them make better decisions about marketing and sales.
Exploring and visualizing data sets based on spatial elements enables organizations to understand their business operations from new perspectives, such as sales per region.
3. “What if” analysis
“What if” analysis allows businesses to assess the potential effects of critical business decision before they’re actually made. Using existing data, users can formulate strategies to achieve business targets and avoid the default “hit and miss” approach. This helps management undertake accurate strategic planning.
Artificial intelligence (AI) can be leveraged to simulate future scenarios and determine the potential effects of different actions. This type of analysis can help businesses make informed decisions about their operations and future plans. Predictive analytics can also help businesses understand customer behavior and predict future trends.
4. Interactive reports
Interactive reports help users convert data into knowledge. They allow users to better understand the analysis within reports, and the underlying data those reports are based on, to support better decision-making. User should be able to:
- Drill down and through reports
- Conduct slice and dice OLAP analysis
- Apply analysis such as moving averages and regression to highlight trends in data
- Use time-series zooming to scan large data sets to understand anomalies in their data
- Use conditional formatting to set data alerts which highlight data exceptions
With a machine-readable format, BI solutions that provide interactive reports can help businesses enable their end-users to explore data in a more intuitive way. This type of business intelligence tool can help organizations make better decisions in the long-term, by providing another avenue for actionable insights and data recommendations.
5. Meta data layer
A metadata layer makes reporting easy and eliminates the need for coding and SQL, allowing users and report writers to see and access information in simple business language. Users solely interact with data at the meta data level, without having to comprehend the complexities of the underlying data or database.
This layer of information makes a business intelligence tool that supports the metadata layer far more powerful and efficient than competitors, because advanced analytics can be performed on the meta data layer, rather than on the individual data elements.
6. Ranking reports
This feature allows you to create reports that order specific categories of information, from across multiple dimensions, by selecting specific criteria. Ranking reports let you view the best and worst performing aspects of your business. For example, you could create a report that ranks your 10 best selling products, regions or sales people.
Human error is one of the main reasons why reports can be inaccurate. This is where ranking reports can allow businesses to automatically rank different data sets in order of specific importance, and enable their end-users to quickly and easily identify which data sets need more attention.
7. Self-service data discovery
Making an informed business decision requires access to the right data, and a BI solution should provide self-service analytics tools that allow users to access that data quickly and easily, while gaining a relevant explanation and comparison to get started. BI solutions should also allow users to share data with other teams within the business, so the accessibility and use of data is maximized.
8. Integration with other systems
A BI solution should be able to integrate with other systems within the business, so data can be easily shared and analyzed. This integration should also allow for the tracking of key performance indicators (KPIs) and other important data metrics. A wide variety of integration options are available, so the BI solution is tailored to meet the specific needs of the business.
9. Cross-platform compatibility
Not only should a BI solution be compatible with a variety of different platforms, but a key feature of BI solutions is the ability to easily share data between different platforms. This allows businesses to more easily share data between different departments and collaborate on projects.
10. Customizable dashboards and reports
Changing the way data is displayed is a great way to get quick insights into your data. BI solutions often come with a wide range of customizable reports and dashboards that allow you to quickly see important data trends. Valuable insights can be gleaned from simple reports that show key data trends over time, or more complex reports that provide detailed analysis of your data.
11. Cloud-based solution
A BI solution should be cloud-based, which means that it can be accessed from any device or computer. This makes it easy for businesses to access data from anywhere, and it can save on the costs of maintaining separate data centers. This is especially important in today’s competitive market, where businesses need to be able to quickly and easily access data from any device or computer.
12. Security and data protection
Aside from visual representation of data, another key feature of a business intelligence solution is the ability to securely store and access data. Collecting, filtering, cleaning, and organizing data can be time-consuming and difficult, so businesses need a solution that can protect their data from unauthorized access. A BI solution is also necessary for businesses that need to comply with data privacy laws, such as the General Data Protection Regulation (GDPR) – ensure to choose a business intelligence platform with the necessary accreditation and protections to maintain data security, data governance and data compliance.
Why are these key features essential in business intelligence platforms?
The cost of building and maintaining traditional data warehouses may be prohibitive for some businesses. Business intelligence solutions ultimately provide a more cost-effective way to manage data – but only if they include the key features listed above.
Yellowfin provides all of these essential business intelligence features, on top of an entire suite of augmented analytics tools, including assisted insights, natural language query (NLQ) and automated analytics, that can be embedded into your application and help your BI users of all skill levels identify and address issues before they become serious.