In addition to these, the CoE offers a unique opportunity for on-demand scaling-up.
Our CoEs are geared for sudden growth or expansion? The CoE equips your organization with the flexibility to scale up operations swiftly and seamlessly. By integrating resources and knowledge, the CoE enables you to respond rapidly to changing market dynamics, capitalize on emerging opportunities, and meet growing customer demands without compromising on quality or efficiency.
If you are an enterprise looking to augment your existing business and technical efforts through data analytics, AI, ML and data engineering, we strongly suggest that you speak with us. Just share your contact details and we will set up a primary call to understand your business objectives.
FREQUENTLY ASKED QUESTION ABOUT A DATA ANALYTICS CoE
The data and analytics Center of Excellence (CoE) is a team of technologists, business professionals, data scientists, and data analysts that understands business problems and builds solutions to those problems. India is one of the most preferred destinations for global businesses to establish their data analytics CoE owing to availability of highly-skilled talent and experience in building data analytics platforms.
You can either set up your own team or partner with a firm that has been in the business of data science for a while. Whatever approach you take, your focus should be on hiring quality talent that can begin work on your business problems right away. You should also consider how your intellectual property can be protected, what are the data security measures in place, and how is you data being governed.
Identify the problems that you intend to solve for, and hire for skills that are required to do so. Your data science team will have an analyst, a data scientist, a data engineer, an infrastructure engineer, a business leader who understands the business, and a project coordinator to ensure that governance is in place. You should look for talent with skills in databases, backend engineering, AI, ML and analytical models.
An in-house data analytics team, even if they are not on your payroll, ensure that your governance and intellectual property frameworks are structured and safe. This also depends on the technology infrastructure and security that you have built for your setup. On the flipside, if you are new to data analytics, you might hire talent that doesn’t have the required skills to solve your business problems. Alternately, you can partner with a data analytics firm to establish this team for you.
Since a data and analytics Center of Excellence (CoE) requires a team of technologists, business professionals, data scientists, and data analysts you would require not just the human potential, but also the technology infrastructure and compute power to get your CoE in place. You can either get all of this done yourself, or partner with a data analytics firm that has set up CoEs for other firms.
The data analytics CoE work closely with with business teams such as marketing, sales, operations etc to drive the Data and AI agenda. Aspects of this include identifying business KPIs that can be improved via utilization of data and AI, identifying and collating data from relevant sources, deriving insights and patterns from the data and delivering the business outcomes.