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Navigating the BI Maze: How to Streamline Operations and Reduce Costs with DevOps

In today’s ever-changing business world, it’s no secret that Business Intelligence (BI) operations can be quite challenging to handle. Organizations must ensure that their BI operations are running effectively while keeping costs in check. However, the complexities of BI management, such as version control, deployment, testing, and monitoring, can lead to increased expenses and operational inefficiencies. Therefore, it’s essential to adopt effective BI management practices to optimize BI operations and drive business growth. Enter Motio – a trusted provider of DevOps solutions for BI.

Streamlining BI Operations:

Beneficial BI management requires streamlined processes and efficient workflows. Motio’s DevOps solutions empower organizations to automate repetitive tasks, standardize deployment processes, and enforce best practices, resulting in faster insight delivery and reduced manual effort. Businesses can minimize errors, accelerate development cycles, and ultimately reduce operational costs through these implemented tools and principles. 

Reducing Costs Through Improved Processes:

Cost reduction in BI operations goes hand in hand with improved processes and reduced errors. Motio’s solutions enable companies to implement automated testing frameworks, ensure version control consistency, and facilitate seamless collaboration between development and operations teams. By reducing the risk of errors and minimizing manual intervention, organizations achieve greater operational efficiency and realize significant cost savings over time.

Consolidation as a Strategic Initiative:

In the quest for cost optimization and greater ROI, consolidation of BI tools often emerges as a strategic initiative for organizations. While this presents its own set of challenges, such as managing overlapping feature sets and addressing user preferences, it can ultimately lead to simplified BI operations and reduced costs. For insights on navigating the consolidation process, we invite you to read our partner blog with Digital Hive, where we delve deeper into this topic.

Partnering with Digital Hive:

As a trusted partner of Digital Hive, Motio offers complementary solutions that empower organizations to streamline their BI operations and drive greater value from their BI investments. While Motio’s DevOps solutions focus on optimizing BI processes and reducing costs, Digital Hive’s analytics catalog capabilities provide valuable insights into BI assets, governance, and collaboration. Together, Motio and Digital Hive offer a comprehensive solution for navigating the complexities of the BI landscape and achieving success in the analytics journey.

Conclusion:

In today’s data-driven world, efficient BI management is essential for organizations looking to stay competitive and drive innovation. With Motio’s DevOps solutions, organizations can streamline their BI operations, reduce costs, and navigate the maze of BI tools and processes with ease. By embracing automation, standardization, and collaboration, organizations can unlock the full potential of their BI investments and achieve success in their analytics initiatives.

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As the BI space evolves, organizations must take into account the bottom line of amassing analytics assets.
The more assets you have, the greater the cost to your business. There are the hard costs of keeping redundant assets, i.e., cloud or server capacity. Accumulating multiple versions of the same visualization not only takes up space, but BI vendors are moving to capacity pricing. Companies now pay more if you have more dashboards, apps, and reports. Earlier, we spoke about dependencies. Keeping redundant assets increases the number of dependencies and therefore the complexity. This comes with a price tag.
The implications of asset failures differ, and the business’s repercussions can be minimal or drastic.
Different industries have distinct regulatory requirements to meet. The impact may be minimal if a report for an end-of-year close has a mislabeled column that the sales or marketing department uses, On the other hand, if a healthcare or financial report does not meet the needs of a HIPPA or SOX compliance report, the company and its C-level suite may face severe penalties and reputational damage. Another example is a report that is shared externally. During an update of the report specs, the low-level security was incorrectly applied, which caused people to have access to personal information.
The complexity of assets influences their likelihood of encountering issues.
The last thing a business wants is for a report or app to fail at a crucial moment. If you know the report is complex and has a lot of dependencies, then the probability of failure caused by IT changes is high. That means a change request should be taken into account. Dependency graphs become important. If it is a straightforward sales report that tells notes by salesperson by account, any changes made do not have the same impact on the report, even if it fails. BI operations should treat these reports differently during change.
Not all reports and dashboards fail the same; some reports may lag, definitions might change, or data accuracy and relevance could wane. Understanding these variations aids in better risk anticipation.

Marketing uses several reports for its campaigns – standard analytic assets often delivered through marketing tools. Finance has very complex reports converted from Excel to BI tools while incorporating different consolidation rules. The marketing reports have a different failure mode than the financial reports. They, therefore, need to be managed differently.

It’s time for the company’s monthly business review. The marketing department proceeds to report on leads acquired per salesperson. Unfortunately, half the team has left the organization, and the data fails to load accurately. While this is an inconvenience for the marketing group, it isn’t detrimental to the business. However, a failure in financial reporting for a human resource consulting firm with 1000s contractors that contains critical and complex calculations about sickness, fees, hours, etc, has major implications and needs to be managed differently.

Acknowledging that assets transition through distinct phases allows for effective management decisions at each stage. As new visualizations are released, the information leads to broad use and adoption.
Think back to the start of the pandemic. COVID dashboards were quickly put together and released to the business, showing pertinent information: how the virus spreads, demographics affected the business and risks, etc. At the time, it was relevant and served its purpose. As we moved past the pandemic, COVID-specific information became obsolete, and reporting is integrated into regular HR reporting.
Reports and dashboards are crafted to deliver valuable insights for stakeholders. Over time, though, the worth of assets changes.
When a company opens its first store in a certain area, there are many elements it needs to understand – other stores in the area, traffic patterns, pricing of products, what products to sell, etc. Once the store is operational for some time, specifics are not as important, and it can adopt the standard reporting. The tailor-made analytic assets become irrelevant and no longer add value to the store manager.