Schlagwort-Archive: Data

What really comprises digitization

Is digitizing old wine in new hoses, or is there more behind it? After IT managers have been trying to be better integrated into the business for years, they continue only to be the supporters of the departments. Meanwhile, all areas are steeped in information technology. No process is free of IT support. Even if users still think that they can do everything by themselves with office tools such as MS Excel, MS Access, MS Word and MS PowerPoint, they have to face the fact that professional data management, analysis and workflow systems form the basis for their competitive advantage. And again, an attempt is made to convince the business through the marketing of an appropriate slogan – i.e. digitization.

Not only the IT departments, but also the hosts of IT consultants are interested in the acceptance. Let’s take a closer look at the aspects which drive nowadays digitization.

  • Nothing works without network
    Digitalization lives on constant broadband access to the Internet. More or less half of humanity is on the net. In Germany, network availability is about 98% in the city, but only 36% in the countryside. As long as the society does not care about a balanced availability, the areas, which have no net, are excluded from any participation of the new possibilities. The network is the basis that enables digitization today.
  • Ubiquitous data
    The business processes generate data that describes more and more details in the course of value creation. According to IDC, the data volume is expected to increase to 40 zettabytes by 2020 (40,000,000,000,000,000,000,000 bytes). The data carries the digital content of the business. The handling of this flood of data will be the decisive competence of the future for users.
  • Barrier-free programs
    IT applications are located in the cloud in a digitized world. Access is available across all types of devices: mainframes, PC’s, notebooks, laptops, tablets, smartphones, PDA’s, RFID readers. 90% of German households have a computer (two-thirds use Outlook as an e-mail program). New models of collaboration will be possible, when access barriers, such as network availability, data protection and the use of the wide range of end devices, are simplified so that the programs receive, process and provide the necessary data in every imaginable environment.
  • Standardized procedure
    In order to be able to connect the processes spontaneously, they need agreements that ensure that the contact can be quickly established and resolved. Access is cable-based and wireless via WLAN or LTE/4G. As soon as this becomes possible outside the high-security wings of the companies, the operation of the business becomes independent from the traditional offices.
  • Digital culture
    In the digital world, businesses take place at unusual speeds and durations. For this purpose, also the employees must be able to quickly change from one idea to another. On the one hand, they must be ready to try new things spontaneously, to evaluate the results, but also to quickly let go unfavorable solutions. In order to be agile, work and responsibility have to be reorganized. A digital culture is closely related to a learning organization. This becomes apparent, when no negative consequences arise for the actors in the case of failure.

Bottom line: Digitization is a new attempt of penetrating the working world with information technology. Nothing really new happens. Long-known technologies are now so powerful that they can finally fulfill the promises of the last 20 years. The elements are now seamlessly interlinked – as long as the right basic conditions have been created. The net is as important to it as breathing in the air to people. The data are the blood cells that carry the oxygen to the place, where it is needed. The programs form the organs that process the oxygen for the survival of the whole organism. For this purpose, over time procedures have been developed to ensure operations. If the organism then also has an attitude that allows all participants lifelong learning, nothing impedes a digital culture. The above points show the essential requirements that really comprise digitization.

Ready for Big DATA

After more than one hundred years, the processing of data is still the main business of IT. The development and the architecture of IT-systems as well as the world-wide networking were at the center of the attention for a long time. Now the IT-industry rediscovered its original topic, the processing of data. With Big Data the renaissance of data processing has an irresistible title. The topic is interesting, because

  • Data is stored everywhere,
  • Contents are interpretable, and
  • the skillful question is difficult to find.

Big DATA offers remedies, in order to process the giant quantities of data, to facilitate the evaluation of contents and to simplify the formulation of the questions. What do the users have to consider in order being ready for Big DATA?

BigData Lupe

  • Data is everywhere
    Despite long-term consolidation and standardization of the IT, the corporate data is still saved in various systems and formats, on different media, and protected in various ways by passwords. Additionally the master data, like e.g. customer or product data are still stored redundantly in several databases that are controlled by different responsible executives. The data quality (e.g. correctness, completeness, consistency or timeliness) is difficult to assess. Eventually, apples are mixed with oranges and then evaluated. These disadvantages will be amplified by Big DATA – following the slogan: Faster Disaster.
  • Data is interpretable
    The interpretation of contents depends on several aspects. Actually, only the original creators of data know their initial purpose. Over time other employees use this data for daily business. They update the existing and add further contents with their own interpretation. Occasionally, the data will be evaluated, consolidated and prepared in tables and diagrams. The analysts interpret the results and derive new insights from it. In retrospect, the participants will not be able to remember, what their original understanding of the data was. The same will happen better and faster with the new Big DATA.
  • It is difficult to ask skillfully
    New approaches, like Data Mining, offer the possibility to search through data without distinct questions. Thereby, programs find patterns that will be examined afterwards. This unveils regular patterns that result from frequent repetition of fraud. On this basis concrete questions can be formulated, e.g. what did customer XY buy and did not pay. For the effectual use of Big DATA the users must learn to ask SMART questions: Specific, Measurable, Adequate, Relevant and Testable Before you start the examination, the indicators of the answers should be specified. Eventually, the format of the report and the structure of the result are determined. The achieved insights can be used more easily in the business.

Bottom line: It would be a fatal and expensive error to consider Big DATA as an automatism that provides the solutions for the operational tasks. The amount of data doubles itself every two years. Therefore we will have to deal globally by 2020 with 40 zettabytes according to IDC . Now is a good moment to make yourself ready for Big DATA.