Enterprises must hasten their digital transformation journey. They must use data to accomplish this. In a post-pandemic future, robust data architecture may be the most important distinction among enterprises. This can provide their efforts a competitive advantage. Robust data architecture will lie underneath all digital efforts to leverage the data that enterprises have today. Culture…
Enterprises must hasten their digital transformation journey. They must use data to accomplish this. In a post-pandemic future, robust data architecture may be the most important distinction among enterprises. This can provide their efforts a competitive advantage. Robust data architecture will lie underneath all digital efforts to leverage the data that enterprises have today.
Culture of data architecture
It is necessary to pay attention to an organization’s culture before implementing any strategy. Creating a strong data culture is similar to creating a strong organizational culture in general. Change must be felt at any and all levels of the organization, with strong support both from management and people.
Human conduct is influenced by culture, but environmental and physical elements can also have a role. Even seemingly little factors such as office desk placement can have an impact on ensuring that new cultural initiatives propagate throughout the firm. “It needs to be more conducive to initiatives.” Sai Krishnan Mohan, VP, Head of Analytics, Baja Auto Ltd said.
Before organizations can begin to enhance their data culture, they must first understand where they are now. This entails identifying their present data’s strengths, limitations, and emphasis areas. “At the bottom, people need to start accurately collecting data, then use data as the first point for discussion”, adds Deepak Sharma, Chief Product Officer, Pepperfry.
Understanding and correcting these differences amongst divisions is a critical component of establishing a more uniform data-driven culture.
Robust data strategy
Every digital transformation begins with a digital strategy. The usage of data is a necessary component. When an organization’s data is in check, it can assist it in improving its customer service and corporate processes. “Done well, it can pretty much amplify every corner of your business, from growth, sales, and customer experience, to risk and fraud mitigation. The upside is limitless”, Paulami Das, Director/Head, Data Sciences, PayU mentions.
Digitization generates data. There are mountains of data. However, it is not enough to utilize data for differentiation, it is also important to utilize data in a mindful and more responsible way. “Any solution you build out of data has the potential to go under because you might not have understood the nuances of data or might have framed it incorrectly”, she further adds.
Understanding the core data items required to solve various business problems is a critical first step in creating reusable data assets. If this is not done, an organization might easily wind up with many parallel processing supply chains driven by distinct business processes. This results in compartmentalized reporting and analytics, as well as inefficient processes and development effort duplication.
Cloud is going to be an important aspect of most businesses’ platform approach, not only for the conventional flexibility of scaling up and down but also because of the native Analysis and AI capabilities that can be utilized for end-to-end. It is vital to design the platform with an automated lens since it will streamline and accelerate data ingestion, which can then be turned into data assets.
The ideal underlying architecture that can accommodate internal and external systems, particularly those in the cloud, can provide next-generation capabilities and layers that enable data and AI to handle larger-scale concerns.
Converting resources to a primary differentiator
Everybody has access to data. However, the main question is if organizations make use of the data to make the right decisions. “To make the right decision, the key is to have access to the relevant data. What we have today is that it is not enough to make decisions based on historical data. You also need recent data. Having access to it in real-time is equally crucial”, Aveekshith Bushan, Vice President- Asia Pacific & Japan, Aerospike said.
The data platform that is empowering organizations in real-time applications should run 24*7 while having consistent access to data. “It’s also about being very conscious when it comes to data”, he adds.
To exploit real-time capabilities, and address fragmentation, and other issues, the majority of businesses today, across all sectors are aware of the necessity to synchronize their online and offline data. Setting up the proper data infrastructure and methods to transfer data to an online realm, such as from on-premises to the cloud, maybe the only first goal of digital acceleration.
In order to scale applications, businesses must frequently go far beyond the constraints of legacy data systems from solution providers. Many organizations are shifting toward a highly customizable data architecture that employs best-of-breed and, in many cases, open-source components that may be substituted with new technologies as required without affecting other portions of the data architecture.
NOTE: This article is an extract from a panel discussion at the Data & Strategy Summit, Mumbai. For the full panel discussion, please refer to the video:
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