Unlocking flexibility in your post-pandemic data strategy

Unlocking flexibility in your post-pandemic data strategy

You may have heard that according to the latest forecast by Gartner, IT spending in India is projected to total $81.9 billion in 2021, an increase of 6% from 2020. This testifies to the fact that the pandemic situation accelerated digital transformation which has sparked an innovation of a new kind.

As business leaders begin planning the digital transformation programs that will lead their organisation through a post-pandemic recovery, it’s worth exploring the top 10 technology trends that Gartner believes data and analytics leaders should focus on as they look to make essential investments:

  1. Smarter, Faster, More Responsible AI - Responsible AI that enables model transparency is essential to protect against poor decisions and better human-machine collaboration.
  2. Decline of the Dashboard - Dynamic data stories with more automated and consumerised experiences will replace visual, point-and-click authoring and exploration. 
  3. Decision Intelligence - By 2023, more than 33% of large organizations will use a framework to design, compose, model, align, execute, monitor and tune decision models in the context of business outcomes and behavior.
  4. X Analytics - X analytics combined with AI and other techniques such as graph analytics will play a key role in planning for natural disasters and other business crises in the future.
  5. Augmented data management – This means using ML and AI techniques to improve operations - by examining large samples of operational data to tune operations and optimise configuration, security and performance.
  6. Cloud is a given - By 2022, public cloud services will be essential for 90% of data and analytics innovation. Data and analytics leaders need to prioritise workloads to exploit cloud capabilities and focus on cost optimisation.
  7. Data analytics collide - This impacts technologies, as well as the people and processes that support and use them. The spectrum of roles will extend from traditional data and analytics to information explorer and citizen developer as examples.
  8. Data marketplaces and exchanges - By 2022, 35% of large organizations will be either sellers or buyers of data via formal online data marketplaces, up from 25% in 2020. 
  9. Practical blockchain - Ledger database management systems (DBMSs) will provide a more attractive option for single-enterprise auditing of data sources. 
  10. Relationships form the foundation of data and analytics value - By 2023, graph technologies will facilitate rapid contextualisation for decision making in 30% of organisations worldwide. 

Whether it is AI or decision intelligence analytics or augmented data management - all of these trends point to the same source – data, and the same destination – cloud. And this is where we come in.

As digital dexterity becomes critical, we are more than ever best positioned to provide you with much-needed flexibility in managing your data - wherever it is, however it is, and when you need it at the best cost possible. 

NetApp as a trusted innovation partner

We are a trusted partner to the world's leading organisations, who are undertaking digital transformations. We have unique strategic partnerships with the leading clouds, including deeply integrated technology and go-to-market efforts. 

Last year we introduced server-less and storage-less solutions for containers. Our new Spot services automate cloud infrastructure for containers - saving customers costs and radically simplifying management.

Another unique introduction was that of the NetApp Keystone Flex Subscription, providing a fast, flexible path to a cloud-enabled data center with pay-as-you-grow subscriptions for a cloud-like experience on premises. Together, all of these innovations better enable enterprises to accelerate their digital transformation and adapt rapidly to unpredictable business demands.

We can help you embrace the hybrid multi cloud across industries in any vertical. In this context our professional services teams are second to none. No one can design an end to end architecture for the cloud like our professional services teams can. 

If you already have an architecture they can help you with new eyes for your design. This is not a template based architecture that most consulting firms provide. The strength of architecture makes our professional services teams partners that can help you ride through your digital transformation journey.

Clearly there are many ways we can work together. If you are looking at an early migration to cloud give us a few use cases that we can help you and tell us what more NetApp can do for you. 


About the author:

As the Senior Vice President of NetApp Across APAC and Japan, my team and I partner with organisations to help them modernize IT and deliver a seamless hybrid multicloud experience through their own Data Fabric. If you’d like to discuss how your business can begin creating the Data Fabric that will enable you to reduce data complexity while preparing for the next generation of innovative technology, please feel free to contact me at [email protected].

#3 is impressive Chief. Feedback fatigue will make way for evidence with client and employee experience measurement to drive agility and profitability.

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Ravi Saxena

Global Sales & Alliances Leader | Cloud, SaaS, 5G, Security | Sustainability Advocate | Driving Strategic Growth in APAC | Singapore Institute of Directors

4 年

Great read! Customers are pushing us to deliver future trends from hard data!

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