VIQTOR DAVIS BLOG

Why moving data to the cloud is a case of survival of the fittest!

While cloud computing has evolved from a market disrupter to a mainstream IT development, it still appears to be a major challenge to move critical business data to the cloud for many organizations. Gartner estimates that less than one-third of enterprises have a proper documented cloud strategy and even less have thought about a data architecture.

However, the world keeps turning, the global pandemic is forcing you and your competition to rethink and recalibrate existing business models to accommodate future growth and survival. Moving your data to the cloud will be fueling highly necessary opportunities.

Why people hesitate, moving data to the cloud?
There are so many questions to raise, that it is quite understandable that many organizations find it difficult to close the gap or even take the first step. Where is my data stored, who has access to it, who owns the data, how do I get charged, what about the SLA, what about security, what happens if we want to cancel, and so on. All these questions make “moving your data to the cloud” a serious task. These questions can be addressed with a well thought strategy that starts with the business and involves IT and a buy- in up to the highest level within the organization.

Key results when investing in moving your data to the cloud.
The end-result always depends on the business goals you have defined. But there are several considerations why you should take action. We split them into technical and business advantages.

Technical advantages

  • Lower total cost of ownership for hardware, software, and IT infrastructure
  • Pay only for what you use; don’t pay for unused capacity
  • Faster provisioning of IT environments; new IT capability and capacity delivered in minutes rather than months
  • Access to external technologies and capacity that would be impossible to host internally
  • Establish controls and governance to ensure the right data is used to run the business
  • Graphical interfaces, and APIs that are familiar to users and permit automation of manual tasks

All of the above benefits are nice to be included but will not ensure that your organization resists the challenge that lies ahead. It’s all about the increased focus on meeting business challenges rather than technical advantages.

Business challenges

  • A personalized client experience across any touchpoint, from their teller to that human being on the other end of a phone call
  • Predictive insights into client’s needs, in real-time, and leverage time sensitive opportunities to retain and grow customer relationships
  • AI-enabled monitoring solutions that require significant amounts of data quickly to perform. Think about fraud monitoring.
  • Risk Officers can monitor risk exposures at all levels within an organization
  • Easily connect, sample, blend and visualize new business opportunities
  • Easily search, navigate and subscribe to relevant data topics
  • Request and access data without IT intervention

In conclusion, we can state that we see four major themes. The costs go down significantly because you can pay per use. Real-time solutions are available because the speed of your systems increases dramatically. Making connections between systems and data becomes a lot easier because standard solutions are available. The last and perhaps most important future is that more services can be offered to the end-user when moving your data to the cloud.

How to jump this train?
If you do want to be successful in moving your data to the cloud, take your business plan at hand and start with having a good look at current business processes. Go start with the operation and talk with business leaders to help them develop and extract business benefits that will yield a competitive edge and more profitability.

In the image below we visualize the path to follow, top down.

Quote from a data architect; “Asking what people exactly want does not work, because they fall back in existing working methods or processes, you have to listen and then show vision to move to the next level. This is real consultancy where you need a specialist involved”.

Think big, start small
The most successful organizations carefully plan out a multiyear effort to improve upon their cloud adoption and do so by focusing on multiple streams of work across several phases of maturity. It takes time for organizations to develop the knowledge needed for all functional areas involved, you need to continuously improve processes and people skills to move on the path to maturity. A good idea is to start with an organization wide literacy training, to teach employees what data does and how to benefit in your daily job or process.

Govern and management
Start early with a strategy for governance and management. This can be a challenging part of your initiative. Developing a multi-cloud governance strategy is the best option, so you can monitor not only consumption of cloud services by provider, but also consumption across cloud providers. When choosing tooling, the aim should be to minimize the number of tools needed while fulfilling all business and technical needs. This requires a well-defined, systematic approach to capture requirements.

Evaluate, evaluate, evaluate...
By continuously evaluating requirements and compare them with technical capabilities and business expectations you will continue to involve people and processes. The chance of adoption will increase with this approach.

Conclusion
As mentioned at the start of this article “moving your data to the cloud” is your best option to tackle challenges over the next years. It ensures a more fit and flexible organization that responds quickly to business changes and customer requirements.

Learn more
Join our “migration to the cloud” webinar on Thursday November 5th 2020 and get an inside on what path you should walk an what mistakes to avoid.

Agenda:

  • Accelerated Digital Transformation
  • Investments in Cloud
  • Business drivers for Data in Cloud, accessibility , single source of truth, speed
  • Data in the Cloud – how - methodology
  • Successful migrations & Pitfalls
  • Technology point of view: Integration, ingestion, DQ, data preparation, governance, people, processes, curation
  • Transition to Cloud Data Lakehouse

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