Six Quick Wins For Digital Transformation Success

Problem: Digital transformation is a long and winding road to – where, exactly? You’ve got data coming from everywhere today – from machines, networks, cars and tractors. You’ve also got data coming from your company’s operations, from sensors, switches firewalls and log files It’s easy to become bewildered by the possibilities.

Solution: Act now. Look for the data that counts the most, that’s most usable right away, that you can act upon. Find some quick wins – some successes – to build confidence toward an all-digital future.

One – Get Visible

Seeing is believing, so shine a light on those operations you’re upgrading, or those that are disconnected by incompatible processes or technologies. Use real-time analytics to build a visibility plane across your organization. Use customizable dashboards to see where operations connect to customers. Make the most of incoming data to take fast action when there’s a problem.

Two – Find Needles In Haystacks

Terabytes of new data create lots of noise – too much for humans to sift through to find problems. Advanced anomaly detection uses machine learning to add context to incoming data streams. For a manufacturer, that can cut time-to-repair, saving thousands of dollars a minute. For a wireless provider, it can help keep customer devices on the air.

Three – Focus Your Attention

Know exactly what populations may be affected by an operational change or outage. Change management lets you find which groups of people or devices may be hit with an outage so you can help them quickly. This is especially important in the midst of digital transformation, when operations upheavals are likely to occur. Change management also lets you target groups – of customers, for instance – for marketing promotions.

Four – Dig Deeper, Automate

Anomalies become incidents when they’re triggered by multiple, parallel events. The more that machines and applications talk to one another – a mark of digital transformation – the harder it becomes for humans to identify problematic interactions. Incident management, performed by real-time analytics, is able to sort through the clutter to discover multiple overlapping failure patterns. Incident management can then create an automated resolution to prevent the problem occurring again.

Five – Predict The Future

You may not want to see the mountains of data coming in, but your real-time analytics engine does. You may not want to wade through company data lakes, but the analytics will. All this data creates context for the analytics engine, and context – served up via machine learning models – is where dynamic failure prediction begins. The analytics then find out which interactions may create problematic behaviors. The next step is to predict when, say, an industrial machine is likely to fail due to a certain combination of temperature and vibration.

Six – Bring The Quick

Fine. Real-time analytics can help you make the most of your important data and help you ignore the not-so-important. But you want to get started now to build some early successes. The way to do that is to use quick-start analytics templates. These contain the plumbing for building quick analytic apps – packaged UIs, packaged algorithms and data models for each of the solutions covered in this blog. They’re offered by better solutions platforms, and they can help you build out analytics apps in time to catch up with some of those waiting piles of new data.

One thought on “Six Quick Wins For Digital Transformation Success

  1. Thank you so much for sharing such a useful blog article. This is very insightful to know about how digital transformation is crucial for business success. The six points for digital transformation success is fantastic and very much helpful to bring changes in business model innovation that plays a critical role in digital business transformation. Thank you! Best Regards, RajeshN, Nous Infosystems

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