business intelligence in 2021

7 Reasons to Implement Business Intelligence in 2021

By | BI Innovation, Self-Service BI | No Comments
If you’re like us, you’re ready to sweep 2020 under the rug and look towards 2021. Next year promises to be a year of growth for many organizations as businesses begin to recover from the COVID-19 pandemic. But in order to start 2021 off on the right foot, your business must begin preparing now to maximize success.

That includes either restarting any BI initiatives that were put on hold, or finally beginning your BI journey. After all, for software companies, if delivering reporting and analytics to your customers isn’t on your product roadmap, it should be. Why? It’s likely your competitors have already done so.

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data visualization software from izenda

Data Visualization Software from Izenda

By | Visualizations
Gone are the days of “gut-decisions.” In business, it’s all about data. But reporting on and making sense of massive amounts of enterprise data is a challenge without the right Business Intelligence and Data Visualization software.

Here are 7 things you should know about BI and data visualization software before you choose the best platform for your business use case. Learn more about the different kinds of tools for Big Data, small data, and everything in-between, as well as the benefits they provide to businesses.

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multitenancy in bi and analytics software explained

Multi-Tenant BI & Analytics

By | Business Intelligence | One Comment
Embedded analytics has emerged as a solution to a business’s demand for distributed data, providing decision-making information that’s easy to access, understand, and utilize at multiple business levels across departments.

Multi-tenant business intelligence (BI) platforms take this a step further, using a single application to serve multiple customers, known as tenants. This gives businesses the ability to create an application one time and deploy it to many customers across multiple verticals.

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Business Intelligence: Definitions, Use Cases, Benefits, and More

By | Business Intelligence | No Comments
Business is changing. The rise of technology like machine learning and predictive analytics has fundamentally altered the way businesses examine the past and plan for the future. Across all industry verticals, organizations are seeing exponential growth in data volumes, creating the need to access, organize, and apply that data in a meaningful way.

As a result, methods of managing “big data” has created a whole new world of opportunities and challenges. Many organizations understand the inherent value in their data, but it’s unlocking is where the challenges lie. Today, learning to navigate data in an organized and accurate way has given companies the competitive edge needed to make data-driven decisions.

How do they do it? With the right Business Intelligence software.

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izenda data visualizations bi platform

Data Visualization: The Functional Art of Business

By | Visualizations | No Comments

Data-driven decisions are dominating the business world, but making sense of massive amounts of data can still be a challenge without the right tools.

Data visualization refers to the presentation of data in a graphical or pictorial format. Presenting data in this way can enable decision-makers to see a visual representation of data and digest complicated concepts more easily, allowing data to be used as productively as possible.

Find out the unique advantages of digestible data visualization and how it can enhance insights and provide more information than standard analysis. Read More

embedded analytics mistakes

4 Pitfalls of Embedded Analytics and How to Avoid Them

By | Analytics, Tips | No Comments

Embedded analytics refers to the integration of analytic content and capabilities within business process applications. It provides relevant insights and analytics tools that allow users to work smarter and more efficiently.

Embedded analytics is a useful tool, but it’s important to understand what embedded analytics can and cannot do. Here are four common mistakes companies make with embedded analytics and how to avoid them. Read More