Info-Tech Research Group released on thursday data and analytics trends 2023 The report, a document that explores cutting-edge trends organizations and IT leaders will need to prepare for in the coming months.
Chris Dyck, the firm’s advisory head of data, analytics and enterprise architecture, said, “As we enter a new era of data and analytics, a data-driven culture and the adoption of emerging technologies are critical for organizations in the digital age.” necessary to remain competitive.” Practice.
“The changing landscape can be overwhelming, but technology leaders who take advantage of these trends will be able to optimize their data strategies, unlock the full potential of an organization’s data assets, and identify opportunities to drive better business outcomes.”
The authors of the report identified the following key trends for the coming months:
- Data Gravity – Data gravity is the tendency of data to attract applications, services, and other data. An increasing number of cloud migration decisions will be made based on the data gravity concept.
- Democratization of real-time data Data democratization means that data is widely accessible to all stakeholders without barriers or barriers. Success in data democratization comes with ubiquitous real-time analytics.
- Enhanced Data Management Enhanced data management will enhance or automate data management capabilities by leveraging AI and related advanced technologies. It is possible to leverage existing data management tools and techniques, but most experts agree that solving many complex data problems requires more work and advanced patterns.
- identity authentication Truthfulness is a concept closely related to identity. As the value of the data increases, greater accuracy is required. For example, more proof is provided for opening a bank account than for making friends on an online social platform. As a result, there is more trust in bank data than in social media data.
- data monetizationData monetization is the transformation of data into financial value, and calls for an organization-wide strategy for value creation. However, this does not mean selling data alone. Monetary value is produced by using data to improve and upgrade existing and new products and services.
- adaptive data governance Adaptive data governance encourages a flexible approach that allows an organization to employ multiple data governance strategies based on changing business conditions. The flip side of adaptive data governance is moving away from manual and often slow data governance and toward aggressive automation.
- AI-Powered Storytelling and Augmented AnalyticsAI and natural language processing will drive the visualization and data storytelling of the future. These tools and techniques are improving rapidly and are now being used to guide people in understanding what their data means and how to act on it, rather than expecting them to perform self-service analysis with dashboards and charts. Designed in a systematic manner for
“In today’s data-driven world, organizations increasingly rely on data and analytics to drive decision-making and gain a competitive edge,” said an info-tech release about the study. “However, keeping up with the significant developments and new technologies in this fast-growing field can be challenging.
“By staying informed about these trends, technology leaders and organizations can better leverage their data assets to drive growth and innovation in the months ahead.”
Additional information is available through Add,
