By Swapnil Mishra - March 31, 2022 4 mins read
Early in 2020, it seemed clear that organizations would continue to invest heavily in analytics to support their digital transformations. The pandemic has proven to be a significant disruptor and changed that focus.
Data analytics is an ever-changing domain. Early in the pandemic, it was expected that firms would focus on issues, such as supporting a remote workforce. In many cases, corporations have accelerated their use of data and analytics and Artificial Intelligence capabilities. Since then, nothing has slowed down.
The pandemic has wreaked havoc on the worldwide supply chain. Supply chain analytics is becoming a necessary part of doing business for many companies. Organizations are attempting to use data, AI, and machine learning to accomplish various things to gain a competitive advantage in supply chain capability. The Great Supply Chain Disruption is still wreaking havoc on industries worldwide. They’re attempting to improve execution, reduce risk, increase agility, and find ways to acquire a genuine competitive advantage. To achieve these objectives, companies must overcome labor shortages, take advantage of the newest digital transformation capabilities, streamline sourcing and inventory management, prioritize customer-centricity, and much more. Supply chains will be able to design a prosperous and sustainable future by anticipating significant trends.
A Chief Data Officer’s most significant accomplishment is when their data is productized or monetized in some form. A lot of businesses are starting to realize this. Investors place a higher value on companies that productize or market their data. Indeed, the value of a company’s data is becoming increasingly crucial in M&A deals.
Companies are taking substantial steps in 2022 to assign value to their data and use that value to generate income. It’s not only about selling data; it’s also about figuring out how to incorporate data into an existing product or service or even how to use data internally to generate measurable value streams for the company. Calculating the worth of a data product takes a lot of time and work. But, it is well worth the effort if businesses measure as many expenses and components as possible. An effective data product leads to accurate decisions. It enables advertisers to think outside the box beyond standard demographics. This creates more relevant, contextual options for visitors and viewers and a more relevant atmosphere.
In 2021, corporate leadership became more aware of environmental, social, and governance (ESG) challenges, which are expected to continue in 2022. Early on, it used simulation to help customers look at various options, like different ways to approach a particular chemical process. Now, customers are becoming increasingly concerned with efficiency. With the focus on sustainability, data will be the key to getting on board the low-carbon bandwagon and demonstrating success to regulators, investors, and other stakeholders.
Data fabric is a fresh approach to the age-old problem of combining diverse data sets for analytics. IT can make mission-critical data more discoverable, pervasive, and reusable across all settings of an organization, including hybrid and multi-cloud environments, provided it can create a unified data architecture that serves as an integrated layer connecting data endpoints and processes. It’s not simply about gaining access to more data sources for analytics. The actual value of data fabric architecture is uniform data management, making it easy for users to access data across several settings.
Swapnil Mishra is a Business News Reporter with OnDot Media. She is a journalism graduate with 5+ years of experience in journalism and mass communication. Previously Swapnil has worked with media outlets like NewsX, MSN, and News24.
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