The future of business intelligence is linked with an increase in companies pursuing digital transformation. Modern BI platforms provide new ways to improve an organization's agility and competitiveness. Organizations must turn to new BI solutions to maximize their data's value, especially if they've accumulated large datasets.
Read on to learn how a modern BI digital transformation can benefit your organization.
Traditional BI methods have created new business intelligence challenges since more and more applications are built by leveraging modern cloud data platforms.
The rise of technologies like SaaS, PaaS, IaaS, and artificial intelligence gives organizations new ways to extract value from their information, making a modern BI digital transformation an excellent way to push your organization to the next level.
A traditional legacy approach bound data to hardware, making access difficult and time-consuming. The time it takes to access data and convert it to a usable format creates IT bottlenecks and slows the whole operation. By the time you receive the information you need, it's too late to make proactive decisions.
This slowness leads to business executives infrequently examining their data, giving them only a vague understanding of their business's inner workings.
Traditional BI was designed for use by professional analysts and IT experts. Non-technical business people can't use this technology, which creates an unhealthy dependence on your IT department for data.
In contrast to traditional solutions, the future of modern BI is bright. Cloud systems have shifted the focus away from legacy IT systems and data science. Non-technical users now have the tools to generate reports and analyses when they need them. Employees are now empowered to make their own data queries and quickly create reports.
Flexible modern dashboards provide increased personalization and accessibility to business users, facilitating easy data source integration.
The scope of power BI utilization of various analytical tools in the future will continue to grow and evolve. Already, self-service BI has eliminated the need for business data analysts by enabling employees to make their own queries. Business users already know what they need from the data. The self-service model allows them to become analysts themselves, leading to a data-driven culture throughout your organization.
Other innovative features like artificial intelligence and machine learning enable increased ease of use, streamlined workflows, and helpful predictive abilities. Traditional BI tools often operate independently of each other. On the other hand, modern BI tools can empower any team member to become literate in data analysis, revolutionizing your workforce.
Modern BI tools open the world to organizations that take advantage of it, empowering new insights and innovations.
The modern cloud data warehouse and BI architecture complement each other beautifully in the business space. A comprehensive BI platform can boost your cloud data storage system in several ways.
While self-service BI is already popular, its use will likely increase in the coming years. Self-service models provide analytics tools that are more powerful and straightforward than ever before. With them, non-technical users can become more competent at analytics.
This model allows users to query data themselves rather than relying on technical staff. The time it takes to generate reports drops significantly, letting companies move far more quickly than they would with traditional access methods. Increased agility leads to increased competitiveness in the business sphere.
With a managed cloud data warehouse's precise control, you can limit access to sensitive datasets to specific users. You also gain increased visibility of your data, allowing you to see who accessed what information and when. Security and visibility are valuable capabilities in an age where data is constantly multiplying.
Limited access points and high-security tools make it easier to remain compliant with data privacy standards, critical for lasting business success.
With modern cloud tools, you can break down data silos and gain valuable insights faster than ever. Because all datasets are readily accessible to those granted access, users can quickly connect to whatever information they need. Some programs can even use a spreadsheet interface to query multiple data sources simultaneously, so separated data is no longer a challenge.
Cloud services are infinitely scalable, reducing your organization's financial risk. There's no need for long-term commitment — you only pay for what you need.
If you find your business's needs are lower than anticipated, you can scale down accordingly. When you experience higher demand or encounter a new challenge, you can quickly scale up to meet it.
Cloud services' return on investment makes using modern tools the obvious solution. Valuable insights drive smart decisions, allowing companies to dodge costly problems and take advantage of whatever opportunities arise.
Switching to modern data tools will also reduce costs by eliminating the need to purchase and maintain hard storage devices in data centers.
Each department has its own unique perspective. Encouraging teamwork between departments is part of creating a data-driven culture. Modern data modeling techniques empower all your experts to ask questions based on their individual expertise and build on the existing data, all without the assistance of your IT department.
“This content is only talking about RDt, we should first talk about Dextrus and then RDt to represent the total offering”
An effective data solution empowers non-technical users to generate their own analyses, significantly enhancing your organization's decision-making ability. That data solution is RDt.
RDt is a comprehensive data platform for testing, reconciling, and validating your data. These steps help spot corruption and other data issues, making them critical for ensuring successful data migrations. RDt's top features include:
RDt's BI Report testing solutions present information in a dashboard format, making it easier for executives to make informed decisions. RDt can also connect to a wide array of analytical programs like PowerBI, Tableau, Looker, and more.
The Scenario Builder feature lets you test, validate or reconcile published data against its source at any phase of the ETL process. This flexibility can help IT teams identify the root cause of issues before a high-priority incident occurs.
Thanks to ever-evolving digital architecture and streamlined programming, the future scope of business intelligence are consistently expanding. RDt can help you keep up with that evolution by enabling easy testing, validation, and reconciliation for all the data in your pipeline.
Book a free demo today to see how RDt can boost your business's agility and data analysis capabilities.