Revenue Analytics is a strategy consulting firm that leverages predictive and prescriptive analytics to generate organic revenue growth for its clients. Insights from consumer behavior and competitive response are used to pull revenue levers such as price, resource and inventory utilization, marketing, and sales analytics. The firm applies a collaborative approach to problem solving, leveraging the cumulative knowledge of its clients combined with Revenue Analytics’ Ph.D.’s, data engineers and business strategists. The end result: 3%-7% uplift for its clients. For more information on how Revenue Analytics can transcend your revenue targets call: 770.544.0875, email: firstname.lastname@example.org, or visit www.revenueanalytics.com.
5 Questions with Revenue Analytics
1. Can you tell us a little bit about Revenue Analytics and how you provide value to your clients?
Revenue Analytics is a strategy consulting firm that leverages predictive and prescriptive analytics to generate organic revenue growth for its clients. Insights from consumer behavior and competitive response are used to pull revenue levers such as price, resource and inventory utilization, marketing, and sales analytics. We apply a collaborative approach to problem solving, leveraging the cumulative knowledge of our clients combined with the firm’s Ph.D.’s, data engineers and business strategists. The end result: 3%-7% uplift (more than $10 billion in revenue gains) for our clients. We believe our track record for designing sustainable solutions that generate long-term revenue uplift is unmatched in the industry.
2. How is Revenue Analytics unique?
Our competitors tend to work at the extremes: Either they are technology firms with a software solution that generates pricing and revenue management recommendations but no strategic guidance, or management consulting firms that offer lots of strategic advice but do not have the ability to produce innovative bespoke solutions. Revenue Analytics offers all of those things and much more. Whether it is building a new solution for a client to own and maintain or providing a hosted Managed Analytics service that includes the infrastructure, solution and skilled resources in partnership with a client, clients can rest assured that Revenue Analytics will deliver on outcomes.
3. What are your thoughts on the landscape of the Chief Analytics Officer and how it has evolved, and how can Revenue Analytics help them?
In recent years, companies have invested more money into big data, and the role of the Chief Analytics Officer has taken on additional significance in corporate America and in the C-suite. The CAO is more mainstream than ever before, perhaps signaling how organizations are moving from simply managing data to applying it strategically across their organization. Companies want to scale their analytical approach to drive more value across the business, to increase organic revenue growth, and to optimize all opportunities available to them. Many of them have spent the last decade assembling big data or have access to it, but don’t know what to do about it – which has now provided them with the justification to create the CAO role. Revenue Analytics can help this newest member of the C-suite by strategically providing them with the tools and guidance to be more effective in this data driven position, identifying opportunities while demonstrating results.
4. In your opinion, what are some of the key challenges CAOs currently face?
Like most companies, there are pockets of silos within an organization, from marketing to IT to operations to finance. This results in a huge disconnect. Often these departments aren’t leveraging the collective wisdom and applying analytics across the organization. Because of this, there is a lot of duplicative work going on, and no cohesive strategy. CAOs look at silos as an opportunity for change.
Another key challenge CAOs currently face is the need for their organization to be transformational. Most companies are challenged at the amount of data they are harnessing, the speed at which it’s available, and the window at which it becomes extinct. CAOs want to treat this information as an asset to their company, and capitalize off these insights while creating value from it.
5. What trends/behaviors are you seeing as a developing result of this?
Chief Analytics Officers are starting to appear in the C-Suite. Not every organization is hiring CAOs, but the ones that are mature and want to remain completive yet take a more strategic approach to their business leveraging analytics are trailblazers. Not only will this type of leadership be more apparent in the future, it also will be a standard role for years to come.