Big data management
Whenever there is talk of digitization, there is no getting around the topic of big data. After all, data is ten a penny. But what exactly does Big Data mean, what challenges do companies face in the age of Industry 4.0, and how can the potential of vast quantities of terabytes and petabytes be exploited economically? The magic word is Big Data management.
Megatrend digitialization and its challenge
The megatrend of the 21st century is undoubtedly digitalization. It has not only had a significant impact on our private lives in the form of smartphones and the like. The technical possibilities that have emerged in the course of digitalization are also becoming increasingly important for companies, government agencies and other organizations. The growing interest is based primarily on the fact that a real treasure lies buried in the opaque digital data jungle that wants to be unearthed - valuable information in the thicket of Big Data.
Bringing light into the data jungle with big data management
Fallow data - a treasure to be mined ...
The value of the untapped treasure trove of data lies in the fact that insights can be derived from it that are of great benefit to companies - for example, when it comes to predictive maintenance. With the right applications or digital tools, machine downtime and the associated machine downtime costs can be avoided before they occur.
So far, so good. However, there is a challenge to be mastered: In order to mine the treasure trove of data and make it usable for themselves, companies have to handle an unimaginably large volume of unstructured and semi-structured data that originates from various sources, is of varying quality and is also available in diverse file formats.
The task is clear: Processing and channeling data volumes
What is required is the organization, administration and management of structured as well as unstructured data in order to process the great potential that lies dormant in them in a usable form. Big data management is used for this purpose. It not only ensures the necessary data quality, but also guarantees the accessibility of the processed data for business intelligence and big data analytics applications. Both are necessary in order to derive the greatest possible benefit from the information thus obtained. The preparation and channeling of data volumes are thus the basis for companies to make economic decisions based on data and facts without being influenced by factors such as intuition. It can therefore be said that Big Data management serves the overall data-based process optimization in companies.
Intelligent Software Based on Big Data Management
There is a range of intelligent software based on Big Data management. Based on processed machine data, it is possible to obtain valuable information, such as key figures, concerning the efficiency and productivity of your plants. This allows you to identify and implement optimization potential at an early stage in order to make your processes more economical.
Special Big Data software, on the other hand - in contrast to conventional software solutions - includes special functions and techniques that enable the parallel processing of many data. One application example is the standardized content delivery solution: With this, all information that a target group (for example, service) requires, such as instructions for action in the event of a malfunction, video instructions, representations of 3D models or production information can be provided in a precisely tailored manner. Questions from users can thus be answered in a targeted manner and tasks can be carried out quickly and in a goal-oriented manner. The result is efficient service with high customer satisfaction through the reduction of downtime, costs and effort.
Big Data Analysis represents one of the hottest trends in the business intelligence software industry. One example of Big Data software is "Sherlock" from Fischer GmbH.
Conclusion: The magic word for processing valuable information buried in the opaque data jungle is Big Data Management.
The data brain „Sherlock“: turning information into knowledge
The entire data of the value chain in a company is located in a wide variety of systems and a wide variety of formats. This means that data and information are located in individual data silos and are not easily accessible to all users. This results in high licensing and maintenance costs, administrative effort for data consolidation or the programming of complex interfaces, and much more.
With Sherlock, you can integrate, link and merge all your company information from a wide variety of sources. Break down data silos and make your data available to internal and external target groups in a precisely tailored manner. This way, you can realize portals, apps or websites within a few days and thus remain agile in your digital transformation.