According to Gartner, by 2022, 90% of corporate strategies will explicitly mention data as a critical enterprise asset and analytics as an essential competency. And many organizations now see the need to move their data supply chain to the cloud so they can make context-aware, actionable, data-driven business decisions and position themselves for strategic growth.
But this creates some big challenges. Many of our clients say that while their cloud transformation efforts have been successful for applications, their data management environment is simply too complex to move to the cloud in a quick and cost-effective way. The result? Cloud initiatives are failing to deliver their full potential.
Many enterprises seeking to make the move to public cloud are choosing Azure for its the scalability, flexibility, security and cost efficiencies that spring from its global network of data centers. Microsoft just raised the bar even further, with the recent announcement of Azure Synapse Analytics, a limitless analytics service that brings together traditional Data Warehousing and Big Data analytics into one offering. But the data migration challenge applies irrespective of which public cloud platform is chosen.
The big question for IT leaders: how to make this mission-critical – but complex – journey to cloud as simple, cost-effective and predictable as possible?
A new approach to data
To help answer this question, we set out to enable our clients to achieve greater agility and confidently drive data-driven business transformations pivoted on Azure data services. It’s why we’ve created Accenture Data Studio for Azure, a next-generation framework to help them transition their data assets to Azure.
Our framework unites Accenture and Microsoft Azure Data to deliver the best of both in terms of products, platforms, process and industry expertise, along with deep delivery and risk management capabilities.
It’s a powerful combination. Accenture’s Data Business Group was the clear leader in the 2019 Everest Group PEAK Matrix Assessment for data and analytics services. Meanwhile, Azure is the most trusted and security-compliant platform in the world, used by 80% of the Fortune 500.
In focus: Accenture Data Studio for Azure
With this foundation, the Accenture Data Studio for Azure is a one-stop co-innovation shop for companies, providing end-to-end services from data strategy creation, through data engineering to intelligent data management solutions that leverage automation to manage and govern data.
At our recently opened North America Data Studio, clients can immerse themselves in everything the Accenture Data Studio for Azure has to offer. Located in Bridgewater NJ, this is the first of five or six lab environments we’re opening worldwide to showcase our Azure data capabilities.
Visiting organizations get instant access to skilled Azure-certified data talent (full-stack cloud data engineers and master data architects), drawn from both Accenture and Microsoft Azure. An onsite “Genius Bar” can provide advanced support, with all the resources needed to develop data-on-cloud rapid prototypes and proofs of concept.
Using our Intelligent Data Suite (IDS), we help clients to start connecting their data value chains, removing the complexity that comes from using multiple point solutions. The emphasis is on accelerating Azure migrations (by between 30-40 percent) and achieving results fast.
Powered by Accenture’s FORM methodology, and using Agile and DevOps methods for speed, we work with clients to develop outcomes-focused commercial models for their Azure journeys. And because of Accenture’s vendor-agnostic approach, organizations can also tap into solutions from third-party providers like Informatica, Qlik and Databricks.
Experience Data Studio for Azure first hand
We’re showcasing Accenture Data Studio for Azure with demos in our booth at this year’s Ignite. Stop by and experience it for yourself. We look forward to seeing you there!
 Gartner, The Future of Data and Analytics: Tales and Trends From the Center to the Edge, October 2018