Adapting your business to the new normal

This is a brave new world, one that will be more competitive, but filled with opportunities. 

But to adapt to the new reality, organizations need to become more flexible, streamlined, and efficient.

Adapting to the new normal

The cloud has gone mainstream, and real time is possible. APIs are King and distributed resilient data architectures are no longer a fantasy.

These are the trands that McKinsey says will help businesses adapt and become agile and be able to respond to demands.

Shifts in Data - AI - ML

To take advantage of the benefits offered by today´s big players, like Snowflake, Amazon, Cloudera, Azure, GCP, IBM and others, not only the right human resources are needed, but also a clear path can be a roadmap for capability acquisition.

Sometimes creating a Data Culture requires some effort and often some support. By surveying your current architecture components, users, jobs to be done, and pain points, one can understand what forces take play in the organization and what capabilities are a priority to acquire.

Before diving into complex projects, we need to make sure we have understood, reframed, and validated assumptions, so that we can multiply the value obtained from our data driven projects.

1 To the clouds

Choosing clod tools means tranferring cost of ownership to the provider and paying for the availability of services that require 0 tech setup.

2 Real time

We do not need to wait until the next report from HQ, we have constant, redundant, and reliable data streams from anywhere in the world, and we have all the processing power available.

3 APIs and decoupled access

Make sure your tools can interoperate with each other through proper APIs, modularity is key for survival and a good API is a catalyst for automation and synergies. Your users will expect to be served from anywhere, and so will your workforce.

4 Distributed scalable domain architecture

The array of services and providers of scalable and resilient data services today can promise SLAs that were unthinkable, but the declining price of hardware and storage make it more sensible to have a responsive architecture and not assume the costs of idle HW.

5 Flexible data schemas

Make sure you know that your products are always an iteration, because customer needs will change, so adaptable schemas are important, so try to design future proof solutions for whoever will be in your place tomorrow.

And always try to validate your hypothesis.

If you need help with your Data Strategy, email us at data@odinideas.com, or talk to the chatbot about it.