Too many data silos. Fragmented data. A lack of insights.
Those are just some of the biggest challenges facing business and IT leaders today, which we talked about in our last blog. So how to solve them? It starts with understanding the value of creating a data-driven culture throughout your entire organization – and then building it.
Culture, not technology, creates a data-driven culture.
We believe culture is the fundamental part of any data and analytics transformation. To put it more plainly, culture, not technology, creates a data-centric business.
Far too often, data and analytics initiatives fail because they start off as technology projects that are not aligned with the business priorities.
When faced with volumes of data that is fragmented across departments and users, the mindset is usually “We must have some insights from our data? What does all this data mean?”
Instead, businesses should start by asking “what outcomes do we want and how does it align with our business objectives?”
To achieve this vision, you need the right team but also the right approach to help you get there. We call this agile, business-centric approach a Data Team as a Service. So what is it and why does it work?
>> Scroll to the end of the post to DOWNLOAD our Data Platform Migration Guide and learn more about our “Data Team as a Service” model.
What is a “Data Team as a Service” Business Model?
Data Team as a Service is how we describe our approach to working with enterprise-level organizations to solve their biggest data and analytics problems.
There are a few pillars to our Data Team as a Service Approach:
1. We help you build a data-driven culture
If your organization’s data is fragmented across departments and users, and if business owners don’t utilize data in consistent ways, it’s hard to scale and get the most value out of either your on-premise or cloud-based systems.
We help bridge the data silos across your organization and partner with you to promote knowledge transfer and help you develop a data-driven culture.
2. Leave you the knowledge
Consultants come in, make recommendations, deploy their projects, and leave.
We take a drastically different approach – working with you at every step of the way to ensure that your project is not a one-time success but that your entire organization is involved so future projects are successful too. This is part of our “blended team” business model.
Our balanced approach to delivering immediate and long-term value is in our blended model. We establish blended teams, provide the strategy and skills but leave behind the knowledge so you can continue to advance your own data capabilities
3. Data… on demand
We are a full-stack data team on demand because not everyone can have their own data team or have the skills to scale quickly and efficiently.
Gensquared invests up to 30% of revenue back into research, development and training.
We also offer all our team members an unlimited professional development budget.
This is unique in the data landscape and offers tremendous value to our clients by ensuring the teams they hire are highly skilled on the latest technology and approaches to solving data problems.
4. We value progress over perfection
We believe in delivering results for the business as often and early as possible.
Per Gartner, when 83% of data modernization projects either fail, exceed budgets or timelines, it is critical to adopt an approach that enables you to deliver results often and quickly.
Using a “Data Team as a Service” business model approach has allowed us to successfully deploy data and analytics infrastructure and technology that business users readily adopt because they have been part of the journey and have had an active role in shaping the overall solution.
What makes Gensquared’s “Data Team as a Service” approach unique?
Traditional data planning models adopted by some consulting firms often follow a sequential process broken into distinct phases. Generally, this approach results in delayed value as the focus is on completing the entire project vs iterating often and quickly.
A traditional approach spends a lot of time and emphasis on up-front planning. All this leads to difficulties adapting to changes, challenges in delivering value quickly, ballooning budgets and missed deadlines.
Additionally, the technology and business sides of the organization tend to operate in silos, often resulting in misalignment of priorities and (misplaced) focus around delivering a better widget rather than solving a business problem.
That’s why we developed our agile, Data Team as a Service approach.
At the beginning of every data and analytics initiative, we build a roadmap that serves as the blueprint for success.
Our Data Team as a Service approach means:
- Defined future state: We take the time to understand your business needs and priorities first. Focusing on your end goal ensures that defining the future state vision remains the focus without becoming mired in analysis paralysis.
- Ability to deliver value quickly: Our agile process is structured to deliver value to the business user as early and often as possible. We strive to deliver incremental value to production on a weekly basis.
- Ability to adapt: Agile data strategies produce agile data roadmaps. They welcome change and can be aligned on a regular cadence to meet the changing needs of the business.
A Data Team as a Service approach is what makes the most sense for today’s changing landscape. By collaborating with our clients, we ensure they don’t just get a successful data and analytics project, but they start building a data-driven culture that sets them up for success for future projects, too.