This site uses cookies to improve your experience. To help us insure we adhere to various privacy regulations, please select your country/region of residence. If you do not select a country, we will assume you are from the United States. Select your Cookie Settings or view our Privacy Policy and Terms of Use.
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Used for the proper function of the website
Used for monitoring website traffic and interactions
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Strictly Necessary: Used for the proper function of the website
Performance/Analytics: Used for monitoring website traffic and interactions
The goal of digitaltransformation remains the same as ever – to become more data-driven. We have learned how to gain a competitive advantage by capturing business events in data. Events are data snap-shots of complex activity sourced from the web, customer systems, ERP transactions, social media, […].
If your enterprise is about to undertake a digitaltransformation (Dx) project, you should understand that these initiatives require a focus on more than the technology itself. appeared first on DATAVERSITY.
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 Data Management by accelerating digitaltransformation.
This makes it difficult to scale operations or change how the data is stored and shared. Companies that have focused on digitaltransformation and moving to the cloud have often been hampered by working with these legacy systems and end up transferring the duct-taped methodology for storage into the cloud.
Domo recently sat down with Ron Kost, Trimble’s director of business intelligence (BI), to better understand his company’s journey with Domo Everywhere , the embedded analytics tool that helps organizations quickly and easily share data with partners and automate routine tasks. And we wanted to bring our own data engineering group.
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 Now, we’re at an exciting turning point with AI.
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 Now, we’re at an exciting turning point with AI.
Even though technology transformation is enabling accelerated progress in data engineering, analytics deployment, and predictive modeling to drive business value, deploying a data strategy across cloud systems remains inefficient and cumbersome for CIOs. One of the key obstacles is data access. What is a data fabric?
It requires the entire organization, including IT, to prioritize the cultivation, connection, management, analysis, and utilization of data wherever it is located. A data-first modernization approach directs digitaltransformation efforts towards creating value centered around data rather than focusing on updating technology infrastructure.
Some of these ideas that I started branching off into is the idea of, well, what about when the data’s not in alignment with what’s going on? What about when the data’s managed by a different group? You have a datawarehouse, data lakes, what about when security is outside the purview of the team?
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.
We organize all of the trending information in your field so you don't have to. Join 57,000+ users and stay up to date on the latest articles your peers are reading.
You know about us, now we want to get to know you!
Let's personalize your content
Let's get even more personalized
We recognize your account from another site in our network, please click 'Send Email' below to continue with verifying your account and setting a password.
Let's personalize your content