The importance of data management and R+D work in the future of companies.

The importance of data management and R+D work in the future of companies.

The importance of data management and R+D work in the future of companies. 2560 1399 Admin_creangel

Nowadays, merciless competition, pressure on profit margins, the cost of creating and launching new projects, few demands, new markets, and in many cases over costs in production, entail companies to focus all their efforts on promoting innovation, achieving new cost reduction strategies and having a product on the market as quickly as possible. It is when the term R+D is playing a crucial role.

On the other hand, consumers want and expect quality standards, competition, demand, and technical and legal requirements to change rapidly. Companies having all these variables must keep a large number of criteria updated and are wondered, to whom does this responsibility belong? For a few years now, all these variables and all these changes have been brought together in the area of ​​research and development (R+D).

What is R+D? The main function of this department is the search and analysis of different services, products, methodologies, and activities that can improve the current and future life of the organization. Research and development are two of the most relevant and essential aspects of the growth and sustainability of a company. Organizations bet on knowledge management to increase profits, bearing in mind that since 2017 companies do not classify it as an expense, nor as a production cost, but as a valuable investment for the maintenance of the present and the future of the company.

The R+D team is indispensable within the organization and their contribution is invaluable. They are in charge of giving a stable vision towards the future within the companies, either by developing new ways of doing processes or technologies, or different variables around the product for the competition, the market, or the consumer. This is in order to reinvent organizations, obtain greater transversal benefits for the company, and directly impact the user.

One of the pillars so that the R+D departments can carry out a good job in favor of the company’s interests; is giving them the possibility of nourishing themselves with the information, not from a piece or a segment, but from all the information. It means, data from customers, the competition, the scientific environment, the market, or experts. On many occasions, organizations already possess this information, from years of experience or from seeing the market. However, this is not so simple, because, in the huge sea of ​​data, this amount of information can leave areas completely overwhelmed. By having the information, there are more challenges in its management, organization, finding, and accessing. Responding to this need to access information and find it in a timely manner, organizations opted for search and knowledge management solutions based on Artificial Intelligence (hereinafter AI).

Incorporating AI into knowledge management or enterprise search solutions can help the R+D team to find and use the information the company already has in an agile and assertive manner. Not only by word search, but by using relevance, getting faster answers to any question, and optimizing decision making. All this with complete data and in real-time.

Enterprise search tools are capable of adapting machine learning, helping businesses in their ability to track processes, files, documents, images, workflows, and any monitored data. This improves how content is used within the enterprise. Companies constantly generate insights, data, and information from a variety of sources across the enterprise. For example, the production area creates daily content from supplies, labor, raw material transformation, finance of accounting information, bank movements, entries, and exits. The marketing department is constantly creating product content, competition, customers, brand, and suppliers. All this information, which the company constantly creates, is valuable and useful, however, its validity and relevance also change rapidly and its value is devalued for the company’s interests.

Tools like IFINDIT creates a satisfying information search experience for the user, connecting the data they need and presenting the most relevant information first. Using artificial intelligence techniques that make search engines intelligent tools that anticipate needs and reduce search time, broadening the experience and revealing information from the entire company without depending on the format, source, or origin, and accessing from a secure point and with the access permissions to the information delivered by the company. The R+D team has global access to information to optimize and manage available resources, accelerate product delivery, reduce costs, leverage intellectual property, understand the market and consumers, improve impact opportunities, minimize the loss of labor or downtime of workers, improve the quality of products and their safety, but above all making the processes more profitable. Additional IFINDIT gives you a way to efficiently manage information. Through dashboards, information can be integrated into a single system, and get answers to key questions in real time. IFINDIT integrates to any database, system, or repository, connecting data in a more agile way, in addition, to generating the user’s own visibility in pre-established boards and building those that best fit the need for R+D.

In conclusion, the IFINDIT tool is able to use and take advantage of each of the data and information of the entire organization, either as a query or as a library, reacting and learning quickly from the needs around the objectives and goals of the R+D team and the demands of the environment. IFINDIT efficiently teaches transversal teams to use and work around the collaboration of obtaining information and sharing their work, in such a way that companies can make better decisions, reduce risks, and stimulate and promote innovation.