So your business has already found a way to properly collect and store data using a platform that avoids ingesting dirty data which can lead to a data swamp. You also found a proper data governance platform that assigns your data to the appropriate people and systems that will secure, manage and utilise your data. After these steps, what comes next?
In the ladder of modernisation, the next step is analysing your data to gain insights and predictions. Having the ability to organise and see hidden perspectives within your data, you can identify where your business is lacking and further improve your systems. This stage in business intelligence requires data scientists and IT experts to appropriately examine and produce valuable insights within your data.
However, IBM experts believe that this can introduce an isolated analysis of data, keeping the people on the business side out of the picture. Having to rely solely on your data experts when it comes to the generating reports of data can be impractical, especially when you have a shortage of IT staff. Therefore, IBM suggests that self-service analytics will have to come into play in order to enable business users to analyse their data with little to no help from statisticians and IT experts.
According to a study by Forbes, 64% of business leaders say self-service business intelligence creates significant competitive advantage, while 71% say self-service options tend to accelerate learning and responsiveness in their organisations. Clearly, with the right tools and strategy, this approach can become a game-changer for a company.
For IBM, keeping control of your self-service analytics is possible. Their Watson Knowledge Catalogue helps business users quickly discover, curate, categorise and share data assets, data sets, analytical models and their relationships with other members of your organisation. It serves as a single source of truth for data engineers, data stewards, data scientists and business analysts to gain self-service access to data they can trust.
Through IBM Watson Knowledge Catalogue, businesses are able to:
Catalogue data: Curate and shape analytical assets, including structured and unstructured data, machine-learning models and notebooks.
Understand data and its quality: Automatically profile and classify structured and unstructured data, helping users understand data assets and their lineage.
Empower data science: Seamless integration with Watson Studio helps data citizens to quickly drive productive use of their data in a suite of powerful data science, AI, machine-learning and deep-learning tools to build, train and deploy models.
Prepare data: Interactively discover, cleanse and prepare your data with a built-in data refinery. Understand data quality, data lineage and distribution through data-profile visualisations, built-in charts and statistics.
Deploy anywhere: Watson Knowledge Catalogue has various deployment choices on IBM Cloud™ and can be run anywhere with IBM Cloud Pak™ for Data.
Enabling business users to analyse data on their own not only initiates more time for IT experts to focus on more technical aspects but it also greatly helps on gaining more insights because more people are in charge.
If you require advice and assistance to implement IBM’s products and services, IBM business intelligence partner, BPI Technologies, has the expertise and experience to help you get the right strategies and tools for success, from data management to data analytics.
To learn more about how IBM and BPI Technologies can boost your business through self-service analytics, click here.