May i get a positive respond about the comment below.

The challenge in Becoming data-driven has been a commonly professed objective for many firms over the past decade or so. Whether their larger goal is to achieve digital transformation, compete on analytics, or become AI-first, embracing and successfully managing data in all its forms is an essential prerequisite. Consistent with these goals, companies have attempted to treat data as an important asset, evolve their cultures in a more data-oriented direction, and adjust their strategies to emphasize data and analytics.

IT and big data analytics can help to reduce the time between order placement and product shipment through automatic EDI (Electronic Data Interchange) and bring cost savings in logistics, inventory, transportation and warehousing.

A second area for analytics is the evaluation of supplier performance based on how they handled recent events and risks. Analytic tools can incorporate public third-party data and help companies assess this risk, A number of companies are turning toward domestic sources after off-shoring, to reduce transportation costs, monitor quality more closely, and have closer buyer-supplier relationships.

Mentioning analytical outsourcing as the world is in a pandemic with covid19 all over the world sadly many countries have shut down airports and Port docks. Resources are slimming down as the people buy out the stores around us. When monitoring social media, for example, the company can learn about a supply management problem in a remote location or a supply base. Its a huge free asset to any business, people have there accounts and follow,support, re post and post their own about products giving business free advertising and marketing. It helps provide knowledge knowing the people who are interested and use their business. Many businesses ares scoping out plans to be able to pay those affected by covid19 as government and state officials have set a curfew, closed businesses and working to minimize people contact in the world to stop the rapid spread of this virus. Its comparable in ways to the Spanish flu in the. 1900s many are taking data from their implementing solutions. Barriers are analytical data is a newer aged thing,time lag of respondents indicated analytics results arrive too late for decisions and actions at hand. If data-driven insights are not available at the speed of decision-making, they will not be taken into account.