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In my last DATAVERSITY article, “The Machine Economy Is Here – The DigitalTransformation Era Is Over,” I discussed the end of digitaltransformation, the arrival of the machine economy, and the emergence of data empowerment.
Digitaltransformation represents the ultimate best practice of the modern era – it signifies ongoing change driven by technological advances and expanded capabilities, helps companies and employees exceed their perceived potential, and constantly raises the bar on competition and performance. So why does it seem […].
Realizing the full potential of real-time data sharing among partners in an organization’s ecosystem is a crucial component of digitaltransformation. For digital businesses to progress quickly, it will take more than just better datamanagement and more insightful analysis.
According to Gartner, data fabric is an architecture and set of data services that provides consistent functionality across a variety of environments, from on-premises to the cloud. Data fabric simplifies and integrates on-premises and cloud DataManagement by accelerating digitaltransformation.
This is a five-part series of articles examining five critical mistakes organizations face when building a cloud architecture, and how those mistakes can lead to soaring costs and inefficient – even risky – datamanagement.
This is why dealing with data should be your top priority if you want your company to digitallytransform in a meaningful way, truly become data-driven, and find ways to monetize its data. Employing Enterprise DataManagement (EDM). What is enterprise datamanagement?
In today’s digital business ecosystem, digitaltransformation is no longer an option for modern businesses. The foundation of a business’s digitaltransformation is effective datamanagement.
This massive increase in remote work arrangements has created additional challenges around managingdata access and […]. The post Today’s Decentralized World: Driving a Shift in Three Key Paradigms for DataManagement appeared first on DATAVERSITY.
Enterprises’ growing need for quality DataManagement and productivity tools has led to an explosion of interest in emerging technologies, such as low-code and no-code platforms, to accelerate their digitaltransformation objectives.
As the pandemic has accelerated digitaltransformation, organizations are successfully deploying and scaling AI projects across more sophisticated, critical scenarios. Lay a strong foundation with your dataarchitecture. “I Invest in strong datamanagement and governance up front—it pays off downstream.
As the pandemic has accelerated digitaltransformation, organizations are successfully deploying and scaling AI projects across more sophisticated, critical scenarios. Lay a strong foundation with your dataarchitecture. “I Invest in strong datamanagement and governance up front—it pays off downstream.
In the present era of data-centricity, institutions are amassing an immense amount of information at an unparalleled pace. This inundation of data holds the solution to unlocking invaluable perceptions, but only with proficient management and analysis. That is precisely where the art of data engineering comes into play.
For datamanagers, the struggle is especially familiar. The difficulty is convincing decision makers to invest in data when measures of data’s value either do not exist or feel too ambiguous to estimate. Justifying any significant business investment is challenging.
Banks – and their data volumes – are at the epicenter of the world’s digitaltransformation. The pace of change mirrors the velocity, volume, and variety of data within the industry. It is where new products, new markets, and new touchpoints mean new – often cloud-based – ways to do business in financial services.
After modernizing and transferring the data, users access features such as interactive visualization, advanced analytics, machine learning, and mobile access through user-friendly interfaces and dashboards. What is Data-First Modernization? It aligns data with the requirements of modern data systems and applications.
For enterprises to achieve efficiencies and better position themselves to respond to a constant rate of change, it’s important for CIOs to install a more-nimble-yet-unified data fabric. What is a data fabric? A data fabric is an increasingly popular and important term in the digitallytransforming world.
APIs act as messengers, enabling different software applications to talk to each other and share data. Businesses can create a unified dataarchitecture by integrating applications through API adoption. APIs act as intermediaries, allowing seamless communication and data exchange between applications.
They act as intermediaries, enabling seamless communication and data exchange between software applications. Therefore, investing in an API integration tool gives businesses a strategic edge by providing a unified dataarchitecture for faster and more accurate decision-making. Why Do Businesses Need an API Integration Tool?
In the face of accelerating digitaltransformation, technology teams managing SAP systems face a complex data processing landscape. The cloud migration wave presents both opportunities and complexities, demanding seamless data movement between SAP and cloud-based applications.
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