Key data and analysis trends for 2023 have been published in the latest report of the Information-Tech Research Group

The New Trends in InfoTech report highlights nine leading information trends that technology leaders should embrace in the coming months.

Toronto, March 8, 2023 /PRNewswire/ — To help technology leaders and their organizations stay on top of the latest trends, global IT research and consulting firm Info-Tech Research Group has released its 2023 Data and Analytics Market Report. The report covers a variety of topics, including artificial intelligence and machine learning, data marketplaces and monetization, and identity authentication.

In today’s data-driven world, organizations increasingly rely on data and analytics to drive decision-making and gain a competitive edge. However, keeping up with key developments and new technologies in this rapid growth can be challenging. By being aware of these trends, technology leaders and organizations can better leverage their data resources to drive growth and innovation in the coming months.

“As we enter a new era of data and analytics, a data-driven culture and adoption of new technologies are essential for organizations to remain competitive in the digital age.” He says. Chris DykeAdvisory leadership for data, analytics, and enterprise architecture practices within an information-tech research group. “The changing landscape can be overwhelming, but technology leaders who capitalize on these trends can identify opportunities to optimize their data strategies, unlock the full potential of an organization’s data assets, and drive better business results.”

The Info-Tech Data and Analytics Trends 2023 report helps teams meet the challenges of identifying data and analytics trends while updating their current capabilities. Examining nine data use cases for emerging technologies, the report aims to inform and educate CIOs, CXOs and IT professionals on key trends and provide guidance on which ones to follow, enabling them to enhance their organizational capabilities to remain data competitive. – Managed economy.

The organization has identified the following nine trends for the coming months:

1. Data Gravity – Data gravity is the tendency to attract applications, services, and other information. More and more cloud migration decisions are made based on the concept of data gravity. It becomes critical in data strategies, where failure can result in costly cloud rollbacks.
2. Democratizing real-time data – Data democratization means that information is widely accessible to all stakeholders without barriers or barriers. Success in the democratization of data comes with ubiquitous real-time analytics.
3. Improved data management – Enhanced Data Management Enhances or automates data management capabilities using AI and related advanced techniques. Existing data management tools and techniques can be used, but many experts recognize that more work and advanced patterns are needed to solve more complex data problems.
4. Authenticity of identity – Authenticity is a concept closely related to identity. As the value of the data increases, more accuracy is required. For example, more proof is provided to open a bank account than to make friends on an online social platform. As a result, there is more trust in bank information than information on social networks.
5. Data monetization – Data monetization requires the transformation of data into financial value and an enterprise-wide strategy for value development. But this information doesn’t just mean selling. Monetary value is generated by using data to enhance and improve existing and new products and services.
6. Adaptive data management – Adaptive data management encourages a flexible approach that allows an organization to use multiple data management strategies based on changing business conditions. Another aspect of adaptive data management is moving away from manual and often slow data management and towards powerful automation.
7. AI-driven application of history and augmented analytics – AI and natural language processing will drive the visual and data storytelling of the future. These tools and techniques are evolving rapidly and are now designed to help people understand what their data means and how to act on it, rather than expecting people to do self-service analysis with dashboards and charts. Ultimately, understanding emotion, trope, personal interpretation, and experience, as well as how to communicate what matters most to each user, is the next frontier for incremental and automated analytics.
8. Data marketplace – The data market can be defined as a dynamic marketplace where users decide what is most valuable. Companies can measure which data is most popular based on usage and choose where to invest. Users can purchase data products in the marketplace and then combine these products with others to start data-driven projects with their creations.
9. DevOps > DataOps > XOps – Integration of Development (Dev) and IT Operations (Ops) in software development originated with the concept of DevOps. Since then, new ops terms such as AIOps, SalesOps, SecOps and others have sprung up rapidly. All of these methods derive from Lean manufacturing principles that seek to eliminate waste by focusing on eliminating errors, cycle time, collaboration, and scale.

Download and read the whole thing Data and Analytics Trends 2023 Report to learn more about each trend for the coming year.

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About Info-Tech Research Group

Information-Tech Research Group It is one of the world’s leading information technology research and consulting firms, proudly serving more than 30,000 IT professionals. The company produces unbiased and highly relevant research to help CIOs and IT leaders make strategic, timely and well-informed decisions. For 25 years, InfoTech has worked closely with IT teams to ensure they get measurable results from their organizations, providing everything they need from actionable tools to analytical guidance.

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Source Information-Tech Research Group