BI Ops 101: Bridging the Gaps in Business Intelligence

BI Ops creates the guardrails that make enterprise-wide BI initiatives successful. Fundamentally, it is a set of processes and technologies that enable you to be successful with your BI initiatives.

This success can be measured across three dimensions: User Engagement, Data Literacy, and User Satisfaction.

Users will keep coming back to get data-driven insights if they find value in the data they can access and analyze. Such highly engaged business users will earn an organization more profits as their decisions are tied to valuable BI analytics associated with their function.

Data is useless if the users cannot understand it. An organization must empower its members to effectively use the data to ask the right questions, build knowledge, make decisions, and communicate meaning to others.

If the users find value in the data and the BI insights they have, it will become indispensable to their work. When they begin to see the positive results they gain through BI Ops, it will become an integral part of your organizational data culture.

BI Ops vs. Dev Ops

In brief, BI Ops is DevOps for BI.

In its broadest sense, DevOps refers to a philosophy that encourages improved communication and teamwork for development functions within an organization. It seeks to speed up the development life cycle and offer continuous software delivery of the highest caliber.

For instance, DevOps sets an organization up for success by ensuring that the right code gets deployed, obsolete code gets removed, everything follows the correct process, and the entire operation is streamlined to the extent possible.

DevOps works by removing the barriers between traditionally siloed teams, development, and operations. That’s what, fundamentally, BI Ops aims to accomplish in the business intelligence domain.

BI Ops can help technology, data, and business teams to work together across the entire decision making process and extract the utmost value from the insights they have gathered.

Benefits of BI Ops

Cost Reduction: A BI Ops initiative will not only augment business value by enhancing the decision making process but will also reduce costs for maintaining and upgrading the existing ecosystem repeatedly. As a result, an organization can eliminate unnecessary capital expenditure and lower project complexity and budget overruns.

With a comprehensive BI Ops strategy in place, a business can extract the utmost value from its data as an asset which has a direct impact on profitability. Moreover, with automated data governance processes, it also reduces manpower requirements and therefore slashes the costs even further.

Reduce Risks: There are a ton of risks associated with managing data. Ensuring the reliability of data is critical to keep your competitive edge across the market. Moreover, compliance risks are an enormous factor, making BI Ops relevant for any organization.

BI Ops can enable teams to use and safeguard data in a distributed environment effectively. It instills trust in data while ensuring that everyone has access to what they need to get their job done successfully. Moreover, it controls the rapid duplication and propagation of data to prevent any compliance mishaps.

Increase Efficiency: Automation is at the core of a BI Ops initiative. Therefore, it can scale with an organization’s operations and incorporate rapid data gathering, processing, and analysis.

A robust BI Ops infrastructure can help you identify the gaps in your business intelligence environment and overcome any underlying issues to ensure that everything is functioning the best it can.

We built Datalogz precisely for the purpose of helping modern, agile, data-driven organizations to cut costs, reduce risks, and increase efficiency within their business intelligence environment. You can read more about our first-of-its-kind BI Ops solution here: datalogz.io.