Enabling Digital Transformation through Advanced Analytics

2018 04 03 1


Even as digital transformation has evolved into a fairly predictable process of platform adoption that is similar across industries with minor differences in design, it seems that every day brings news of disruption in the form of technological innovation. In consumer facing industries such as Retail, Consumer Packaged Goods (CPG), Travel or Automotive, there is disproportionate growth performance between a small group of digitally led players and the non-digital companies. As a result, only 12% of Fortune 500 companies from 1955 still exist. Only 50% of today’s Fortune 500 companies are expected to be in business 10 years from now.[i]

Future leaders will be data driven

Clearly, the cost of not being data driven is extremely high. Retail and CPG have seen massive fortune reversals in the past 15 years. In 2000, Kmart was the third-largest US retailer, with $36 billion in sales; by 2014, its annual revenues had declined by two-thirds. Over the same period, Amazon’s annual sales grew to $89 billion from about $2.8 billion.[ii]

The most valuable brands today, such as Apple, Alphabet/Google, Amazon, Facebook or Microsoft have built their business models on a strong foundation of data and analytics. The same trend is also visible among the most prominent privately held global unicorns such as Uber, Lyft, Airbnb, Pinterest and Spotify. These companies differentiate themselves through their data and analytics assets, processes, and strategies.[iii]

Digitally driven organizations can completely do away with traditional entry barriers as they don’t need to invest in physical assets. This is also making it faster for them to enter new markets, or even create new ones. Essentially, the nature of investments has shifted from physical assets to digital platforms, solutions and talent. Amazon, Netflix, Uber and AirBnB are common and telling examples.

In this new environment, it is necessary for business leaders to become data driven. This means that they have to go beyond their existing platforms for insights and they must become agile on their execution. In other words, they have to know, as much as possible, what  the overall story is based on what the data states about their business – past, present and future – and they have to do it now.

Analytics is integral to the digital transformation journey of any organization. In a way, one cannot exist without the other. Just having volumes of data will not help generate the insights needed to drive business growth. Analytics helps glean the right insights to create value from the data.

The combination of internal data from multiple systems with ever-growing external sources and new techniques can provide a more detailed and accurate description of events past, present or future. This process does not need to take many years or cost millions of dollars. It can begin tactically with a defined and mostly proven outcome in areas such as: marketing optimization, online business performance or many others.

Analytics can and should deliver business outcomes now, not just in the future

During my conversations with various companies, I’ve realized that most companies already have an advanced analytics program at various maturity levels in place. They have either invested in building it internally or have brought on board a consulting firm.

However, with micro revolutions occurring every 12-18 months, companies are realizing the imperative to be in a continual state of transformation.[iv] This means there needs to be high levels of agility in operations, now not in the near future, to meet the changing market needs, and as a result a much faster time to ROI on these analytics investments.

For instance, for a leading global auto manufacturer LatentView Analytics reduced warranty costs by 35% through customer behavioral segmentation leveraging real-time IoT data from connected vehicles. LatentView developed an analytics platform that helped the client understand usage patterns for their products and test product-related hypotheses.

The LatentView Analytics Edge

Combining digital transformation strategy with advanced analytics is not an easy task, especially as they can each impact the success and even the very survival of the enterprise as the pace of adoption increases disruption.

By setting up Analytics Centers of Excellence (CoE), LatentView Analytics has developed an effective approach to achieve positive business outcomes from Digital Transformation that is collaborative and fluid with ongoing projects as it delivers measurable benefits. It leverages advanced tools and methodologies with a customized roadmap that has been designed to move clients across the maturity quadrant.

In summary, advanced Analytics will increasingly move from catalyst to fuel to accelerator of disruption. Business leaders need to start this journey now, explore multiple solutions, deploy tactically and measure constantly to create a virtuous cycle of planning and execution that leads to continued success.

To read in detail about forging digital transformation in your business, read our whitepaper – http://bit.ly/2GwBBQL

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