How can you transform to a ‘data-driven’ intelligent enterprise?

Main visual : How can you transform to a ‘data-driven’ intelligent enterprise?

Isn’t it the best feeling when plans fit together so seamlessly that you wonder whether higher forces are at work? When the train arrives just as you step on to the platform. When you turn on the TV just as the football game kicks off. Or you get the best deal for that jacket you wanted to buy. Feels good, doesn’t it?

Everything slotting together at the right time has become a reality when it comes to the expectations of what I call the ‘internet generation’. We’re used to having information at our fingertips – whether it’s the latest news, when the next train is, booking a journey on the go, or delivery of groceries to our doorstep. This approach has become a life-saver in the current pandemic situation, and the expectation of instant access to goods and services has percolated into every area of business. Consequently, customer experience is the key to success

Are your business operations customer-centric?

The cost of switching providers for the consumer today is almost zero. This makes customer retention extremely important, and real-time or near real-time information (depending on the operations) critical to ensure customer satisfaction. This requirement exposes several gaps within many enterprises. A business that has a poorly integrated baseline foundation is bound to data availability concerns making data-driven decisions impractical. This is what we’re addressing with Fujitsu’s data-driven transformation strategy (DDTS).

For every organization, the level of complexity differs – but one thing is constant: most run core business operations on SAP applications. Fujitsu’s DDTS approach ties in neatly with the SAP motto of “Intelligent Enterprise” with in-memory computing, HANA databases, and advanced tech. This empowers organizations to achieve their vision of a data-driven intelligent enterprise and enables the monetization of vast amounts of data across multiple locations. The transformation solution and services are provided by Fujitsu and backed by best-of-breed consultants and partners.

Data-driven foundation delivers faster responses

Simply put, any organization today without a data-driven, well integrated infrastructure across edge-core-cloud is missing out. These enable faster responses and can reduce the time required to bring any service changes to market. I think the year 2020 has already provided a series of reminders for businesses on how things can and do change rapidly and unpredictably.

Data-driven infrastructure means greater empathy to the customer. This manifests in examples such as faster time to market for innovative solutions, or in being able to rapidly introduce a proactive fix or replacement in case of a flawed product. Firms that follow this philosophy are more likely to win the hearts – and therefore the longer-term loyalty – of their customers.

But the journey to a data-driven intelligent enterprise is challenging – there’s often a disconnect between data management and innovation. In many cases, cross-organization application integration is a challenge. The combination of legacy, customized, and new generation applications lead to huge administrative and maintenance cost, not to mention the challenge of outdated core technology limiting application upgrades. And, outdated applications limiting core technology refreshes is an additional problem to contend with.

In this environment, even innovation suffers. It’s a challenge to pivot, or to adopt the latest technology, when you’re running legacy applications. On top of that, the return on investment from using innovative technology like artificial intelligence (AI) is weak, due to the lack of relevant, cross-referenced data – the lifeblood of a successful AI project.

A tell-tale sign of a legacy system is the difficulty in accessing data. Challenges include the lack of visibility into key data, poor cross-organization process cycles, inefficiencies in data integration, etc. These hurdles slow down decision-making and, therefore, an organization’s response to customers. In short, it’s driving with the brakes on.

You can modernize without having to touch a running system

“Never touch a running system” was the old mantra. The reason for this was simple: avoid disruption to an existing business. Today, there are different tools to handle the requirement of porting new, tested application on-cloud or on-premises depending on customer requirement, without disrupting the existing operations. For example, when we helped an insurance company to modernize its operations running on SAP, it resulted in a 30% faster response time for customers and a 24% cost reduction. Hence a truly compelling reason to modernize.

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A data-driven transformation strategy works wonders for SAP environments

The four-step Fujitsu DDTS approach starts by defining the data transformation baseline, then creating a target data architecture based on company vision to ensure efficient data management –from the network edge to the core to the cloud.

Pulling together data from multiple access points is an essential process and sets the stage for successful data-driven transformation. Therefore, any enterprise project to take back control over data is bound to touch on SAP applications. Many organizations depend on these to run core business operations such as ERP (enterprise resource planning) and CRM (customer relationship management). This may also potentially need integration into other non-SAP applications or databases.

The end-to-end agile process makes data-driven intelligent enterprise a reality by bringing together data from all core business operations. It does this through a step-by-step process of vision setting, discover, prepare, explore, realize, and then deploy and run, which leads to the ability to exploit data to the fullest.

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Leveraging data-driven transformation strategy in SAP foundation

It’s easy to get started – begin by assessing your data maturity level with Fujitsu. This will start your journey to becoming an agile and resilient ‘data-driven intelligent’ enterprise.