Post by ummefatihaayat12 on Feb 28, 2024 5:28:58 GMT -5
Quality and security, priorities in data management
Data analysis and management systems , like any technology, evolve as new needs appear and more efficient and effective solutions are designed. Until recently, the interests of the IT industry were aimed at offering answers commensurate with the needs arising under the umbrella of Big Data: systems and tools capable of managing and analyzing accumulated data at high speed, with increasing variety and volume. at an exponential rate. However, the stage of valuing data for themselves seems to be over. Organizations have internalized the importance of their data, of having a solid management and analysis strategy, and today the interest in volume and variety is progressively giving way to quality and security. data management Quality and security: protagonists in corporate data management strategies To understand the importance that quality and security are gaining in data management strategies, let's review some of the main trends that recent months have corroborated, and that will help us better understand the reason for this prominence: Data analytics continues to be predominant in information management and knowledge generation.
The instinctive decision-making within organizations, profoundly limited in taking advantage of new business opportunities and taking advantage over the competition, and strongly conditioned by the risks it entails, is part of an increasingly distant past. . It is not strange that, with data being one of the main assets of organizations, they are committed to increasing their security. Given the incessant increase in available data , the variety of sources of origin and their importance for decision making, ensuring its quality India Part Time Job Seekers Phone Number List has become a high priority issue for organizations, even ahead of quantity. New technologies and systems , such as the Internet of Things (IoT) - which some experts do not hesitate to predict will lead to the 3rd Industrial Revolution - will exponentially increase the data dumped into data warehouses , so implement security measures and mechanisms to ensure A minimum level of quality is, already today, a matter of high priority.
For all this, we can anticipate that the importance that quality and security are acquiring in data management strategies will place them among the first corporate needs and demands , demands that the BI industry must be able to face with maximum effectiveness and efficiency. in the very near future. In fact, they are already issues that some of the most up-to-date Business Intelligence solutions already consider with the seriousness and priority that is required of them today. However, not everything necessary to address these new challenges is the responsibility of technology: a corporate effort is also required to adapt the data management strategy of organizations to the new conditions imposed by security and quality requirements . Regarding this assumption, we once again recommend the guide 10 keys to defining your corporate data management strategy , a completely free resource where, among other related issues, the bases for designing a corporate data management strategy are presented at the level of the circumstances. Related posts: Internet of Things, the great future challenge for data management Companies once again promote technological development Limits and possibilities of artificial intelligence.
Data analysis and management systems , like any technology, evolve as new needs appear and more efficient and effective solutions are designed. Until recently, the interests of the IT industry were aimed at offering answers commensurate with the needs arising under the umbrella of Big Data: systems and tools capable of managing and analyzing accumulated data at high speed, with increasing variety and volume. at an exponential rate. However, the stage of valuing data for themselves seems to be over. Organizations have internalized the importance of their data, of having a solid management and analysis strategy, and today the interest in volume and variety is progressively giving way to quality and security. data management Quality and security: protagonists in corporate data management strategies To understand the importance that quality and security are gaining in data management strategies, let's review some of the main trends that recent months have corroborated, and that will help us better understand the reason for this prominence: Data analytics continues to be predominant in information management and knowledge generation.
The instinctive decision-making within organizations, profoundly limited in taking advantage of new business opportunities and taking advantage over the competition, and strongly conditioned by the risks it entails, is part of an increasingly distant past. . It is not strange that, with data being one of the main assets of organizations, they are committed to increasing their security. Given the incessant increase in available data , the variety of sources of origin and their importance for decision making, ensuring its quality India Part Time Job Seekers Phone Number List has become a high priority issue for organizations, even ahead of quantity. New technologies and systems , such as the Internet of Things (IoT) - which some experts do not hesitate to predict will lead to the 3rd Industrial Revolution - will exponentially increase the data dumped into data warehouses , so implement security measures and mechanisms to ensure A minimum level of quality is, already today, a matter of high priority.
For all this, we can anticipate that the importance that quality and security are acquiring in data management strategies will place them among the first corporate needs and demands , demands that the BI industry must be able to face with maximum effectiveness and efficiency. in the very near future. In fact, they are already issues that some of the most up-to-date Business Intelligence solutions already consider with the seriousness and priority that is required of them today. However, not everything necessary to address these new challenges is the responsibility of technology: a corporate effort is also required to adapt the data management strategy of organizations to the new conditions imposed by security and quality requirements . Regarding this assumption, we once again recommend the guide 10 keys to defining your corporate data management strategy , a completely free resource where, among other related issues, the bases for designing a corporate data management strategy are presented at the level of the circumstances. Related posts: Internet of Things, the great future challenge for data management Companies once again promote technological development Limits and possibilities of artificial intelligence.