Data is the backbone of every company. So keeping BI teams happy is a top priority… Right?
In reality, BI teams’ needs are largely ignored by companies, with a 21% turnover rate and 36% of employees reporting dissatisfaction with their work environment. They have to produce reports that, with current methods, require unreasonable man hours and draw on disparate sources of data, making it a tedious, time-wasting and aggravating process. Plus, when the data doesn’t turn out as expected, its BI teams at the gallows, even if it’s the best they could do with their current tools
What’s the next step – what can be done to address the dire straits currently facing BI teams and what companies must do to staunch the analyst exodus and keep their key teams thriving? One company, Octopai, offers an AI-powered cloud-based metadata management platform created by BI professionals for BI professionals, that was designed to liberate BI teams from the predicament of being asked to dig a trench with a toothpick.
Octopai is an automated metadata management platform that helps BI teams find, understand and analyze shared metadata. Their technology shortens the man hours needed to search and organize data by identifying all the different possibilities of labeling to be able to find it in one query across an entire system
Automating metadata management is crucial for BI groups. It helps ensure BI operational excellence with regard to reporting accuracy and business process changes, as well as that projects such as compliance, migration, and upgrades go smoothly and are completed on time and within budget.
Automating the process of metadata management is the only practical solution to the problem of metadata discovery and management. You can’t realistically ask a business to stop generating data, stop acquiring new data sources, and stop creating and modifying reports and dashboards while the BI team takes months to go through every data asset and document the metadata.
With automated tools, the metadata discovery task can be reduced to days or even hours. It can continuously monitor the data environment for changes. The BI team and other stakeholders can focus on extracting value from the data instead of manual grunt work
So what does this mean practically? BI teams are spared the hassle of manually searching through data to find anomalies and information- saving time, money and sanity. BI teams have, until now, been woefully unequipped to do their jobs efficiently and have effectively been asked to dig trenches with toothpicks. When upper management asks them for data that they cannot produce quickly or accurately due to their limited tools, this creates tension, stress, and workplace dissatisfaction, which leads to high turnover rates. Properly equipping BI teams empowers them to meet management expectations, thrive in their roles, and help companies grow and flourish. This in turn helps maintain a higher level of job satisfaction among BI teams and staunches the analyst exodus.
Contributed by Daniel D. Gutierrez, Managing Editor and Resident Data Scientist for insideBIGDATA. In addition to being a tech journalist, Daniel also is a consultant in data scientist, author, educator and sits on a number of advisory boards for various start-up companies.
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