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The role of automation in your data strategy

AI and machine learning are the ultimate tools for providing future predictable insights

June 15, 2021 | By Ram Palaniappan

Data and modern technology

Changes in an organisation’s business model are all driven by plans of action. Whether your business strategy is working or needs evolving, you need a feedback mechanism through your data strategy to keep the business on track.

It’s a closed loop: you plan the business model, put it into action, collect the data and metrics to evaluate performance and then reconfigure if things can be improved. Within this cycle, there’s a lot of mundane, but necessary, work to support and sustain the data strategy. Enter: automation.

AI can enhance the value of your data

The value of data is only realised through analysing it—assessing its value, identifying problems and finding patterns and relationships. Automating parts of your data strategy through AI and machine learning can further enhance that value. Automation can help reduce time and increase operational efficiencies needed to predict outcomes and prescribe solutions. DataOps automation can be leveraged to analyse large volumes or wide varieties of data and should be represented in digestible formats and dashboards that can be easily interpreted and shared when processed through analytics platforms.

Leverage machine learning for application and service desk support

In a very tangible way, AI can work together with your data strategy to automate parts of your business and deliver value to end users. Machine-learning capabilities and chatbots, can be used in areas where companies are looking for more agility. Integrating these technologies into your data strategy can help focus the data to accelerate efficiencies and enhance digital experiences in creative ways.

Predicting the future with high confidence is the goal

By integrating automation, you can enable your data strategy to offer predictive analytic insights into trends and relationships, as well as prescriptive recommendations on how to take action toward organisational goals. You'll be able to dig deeper using predictive modelling and generate automated alerts—spurring cognitive analytics that learn, adapt and improve.

The value of your data comes down to the ability to respond and make intelligent timely decisions. Automating business processes and augmented intelligence should be used to fuel those actionable insights.

Senior leader, innovator and technologist Ram Palaniappan brings broad experience in big data, BI, mobility and cloud solutions. Ram has worked with Oracle and Deloitte and is a featured thought leader in the space, including contributing to articles in major IT publications, such as Information Week, and serving as a featured speaker at multiple forums and conferences.