Systems and technologies previously limited to large companies began to expand to small and medium-sized businesses, requiring specialized teams
If the watchword is competitiveness, efficiency in processes and information security, large corporations have been leading the way in the area of data governance for some years now. However, in the face of technological advances and the popularization of the internet, the topic has gained even more relevance for companies of all types and sizes. Currently, with the new General Data Protection Law (LGPD) in force, managing your data has become a matter of survival and implementing a Data Management program has been an alternative to make life easier for managers and teams.
If you want your company to get ahead in 2022 and you are already considering implementing a Data Management program, know that the gains will be numerous and, to encourage you to adopt this model, we have listed the main ones:
- When familiarizing yourself with the data, it will be quite common for you to see it as a strategic point for decisions. In this way, your company starts to obtain a new culture that is more assertive and aligned with the objectives of the Business.
- Cost reduction and expense savings, as Management tends to centralize operations.
- Easier to recognize what is really important and most urgent to be implemented, establishing priorities and planning.
- Significant reduction of duplicate or redundant information, facilitating the work of the entire team and reducing the time to perform tasks.
- Greater reliability of information, because the system is much more secure, integrated, direct and clear.
Still not convinced how data governance can help you in practice? We list four inspiring cases to show that data is the best friend of your processes:
Before the doors open daily at each of Zara’s 2,213 locations around the world, employees and managers share details of the previous day’s best-selling items, customer-returned items, shopper feedback, as well as trends the team has seen. have noticed.
Using a sophisticated technology-driven system, analysts release daily updates and use them to paint an accurate picture of exactly what Zara’s customers are demanding.
This information is quickly translated by a vast team of over 300 in-house designers into tangible, fashion-forward projects that are made and sold at affordable prices. And in 21 days, the new part is available at retail.
While most fast fashion brands try to anticipate what customers want, Zara wins the trend by getting customer feedback. Stores are stocked twice a week — with orders once before the weekend and once after. The stock is new and the customer can often find items that are unique.
Zara is always ready to give consumers what they want or, better yet, what they don’t even know they need. And, it seems, this is the secret of its success.
2. Grupo Pão de Açúcar
Grupo Pão de Açúcar has a customer relationship system aimed at building the loyalty of its external public. Called Clube Extra, the system has the objective of not only promoting closer relations with customers but also with suppliers.
Simply, the customer registers in the program of the supermarket chain and can accumulate points through online purchases or in physical stores. The data originated with this platform is analyzed to relate customers to products, favorite brands and the most consumed.
Operationally, the system with Big Data technology optimizes the stock, since the company will have prior knowledge about how much to buy of a certain product, in view of the costs of maintaining it.
It doesn’t come as a big surprise, but the North American Space Agency (NASA) has several programs that rely on the use of Big Data. One example is the climate change research project, with analyzes of key data collected through NASA’s 16 earth science satellites for the climate science program monitoring air quality, oceans and hurricanes, among others.
Another project is the Pleiades supercomputer — the world’s most advanced supercomputer for modeling and simulation. It is one of the most powerful installed at the NASA Research Center in Moffett Field, California, and supports the agency’s missions in the exploration of terrestrial and space science, aeronautics, future space travel and exploration.
Pleiades has already been used to explain the sun’s atmosphere through advanced numerical models. Used for modeling and simulation, this supercomputer helps NASA researchers take advantage of vast computing resources and incorporate simulations at spatial scales.
Nike is a world leader in several categories of athletic footwear and apparel and is investing heavily in apps, wearables and big data. Nike is looking beyond physical products and aims to create lifestyle brands that athletes don’t want to run without.
The company has 13 different lines in more than 180 countries. However, the way it segments and serves these markets is its real differentiator. Nike divides the world into sporting endeavors rather than just geography. The theory is that people who play golf, for example, have more in common than people who simply live next to each other.
This retail and marketing strategy is largely driven by Big Data. Nike has also invested in demographic data analysis to define its test markets and drive its business forward.
How to adopt data analysis in my company?
Many entrepreneurs imagine that the company itself cannot develop the same strategies as giants such as Nike. However, technology has shortened the path to a series of solutions that add value and can bring significant results to your business.
T4i Solutions, for example, offers technological solutions in database management and software development with the aim of identifying problems and improving business management. Upon discovering your company’s obstacles and challenges, a specialized team creates intelligent solutions that incorporate new technologies and offer the perfect environment for your business to achieve even more results.
Partnerships like this mean that companies of all segments and sizes do not need to hire more employees, but can use the know-how of a partner specialized in technology to set increasingly bold goals.
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