Our analytics value proposition
Our analytics value proposition:
We propose that the analytics space should be done differently, with a holistic focus on behavioral sciences, performance coaching, and technology. While analytics technologies clearly play a role in the analytics chain, we believe that technology is not the only barrier to low adoption and ROI. Dashboards and reports don’t influence your bottom line on their own. People do.
Analytics performance coaching can help if senior leadership needs to better understand how their business will turn data into knowledge, and what to ask of their staff. Creating a data culture is an integral part to scaling analytics and business intelligence solutions. Leadership plays a critical role in establishing that culture. Tying analytics to performance goals and to the businesses strategic plans makes these goals open to everyone in the business. A common goal innately increases communication and fosters teamwork.
Organizational data flow can help senior management understand who in the organization is consuming data, and where the deficiencies are. A byproduct of understanding this information consumption will help senior management understand the gaps in people, process, and technologies.
Behavioral sciences are required to find success in analytics initiatives, as it’s imperative to understand how staff use data, and what the roadblocks are to having them leverage the information. Critical theories such as loss aversion and sunk costs will influence how staff interact with data. Interaction with the data is required to make it useful, and this interaction will translate to the bottom line. Weaving analytics in to your corporate DNA is the best way to generate insight from the information, after all, your staff is the day to day face of your organization.
Technology in the analytics and business intelligence space is changing rapidly. Cloud based solutions, data virtualization, and data visualizations are closing the data deployment gap. Data plumbers will still be required to move data into data warehouses, however the architecture and strategy of the business intelligence domain will be fundamentally different in the future. This means that teams can more quickly iterate, and present the business with more timely data. Timely results increase ROI and breed confidence in the initiative.
As data analytics translators, we can help your business bridge the hard technical gaps and the soft behavioral gaps.