Organizational Analytics – 7 Top Reasons To Recommit

Are you ready to transform your business with data-driven insights?

Organizational analytics isn’t just a trend—it’s a game-changer. According to Gartner, 58% of organizations find their performance management systems inadequate.

Imagine reallocating your team’s energy from manual data crunching to strategic execution. With automated KPI reporting, you can. Discover seven compelling reasons to upgrade your organizational analytics now and gain a competitive edge.

Here are 7 reasons why it’s important for your business to recommit to organizational analytics.

Looking for a cost effective, comprehensive, and turnkey Analytics solution? Check out our Analytics Team as a Service.

1. Dialed in KPI’s

Every organization has “north-star” KPI’s. In recent years, many companies and organizations have put significant effort into identifying and clarifying their core KPI’s, which has led to a more wide-spread focus on a holistic organizational analytics focus.

Operating frameworks like EOS™ are commonly used by leaders to run and evaluate their organizations. These operating frameworks require the reporting and tracking of KPIs – not just lagging indicators like the Profit and Loss Statement, but leading indicators such as leads generated or the effectiveness of a digital marketing campaign.

2. Competitive Advantage

Organizations that streamline the reporting of KPIs through automation have an edge in their competitive landscape. The research is clear – teams that effectively implement KPIs through digital transformation have a significant advantage over their competition and can simply track and report on their follow-on efficiency and short-term objectives.

For example, a manager or executive can be automatically notified when product numbers are dipping below daily targets or the sales pipeline is shrinking, allowing them to take more timely actions to reverse the negative trend.

3. Data is Available

Failing to leverage available data is flying blind – when clarity is well within reach. A few years ago, the availability of data from core systems was spotty. That is no longer the case in today’s connected society – virtually every platform can export data – and if it doesn’t, its users are most likely seeking a new solution.

While many of these core systems have “cookie-cutter” KPIs built in, these are not normally optimized to the exact metrics needed for a particular organization. Often they simply don’t produce data in the right format – i.e. “day-over-day” or “month-over-month” – allowing for data trend lines – or they require the output and combination of data from multiple systems (historically, often done in Excel) to produce a usable metric. This is where modern analytics platforms truly shine. 

4. Data is Democratized

KPIs can easily be viewed anywhere and anytime. Not only is data available from accounting, marketing, and ERP systems for transformation and presentation in analytics tools, the business intelligence tools themselves allow for the data to be securely, accurately, and professionally viewed in mobile applications and web browsers.

Managers and executives on a business flight or on the golf course no longer need VPN access to their network in order to access critical information driven by organizational analytics. At the fundamental level, modern analytics platforms simply empower organizational leaders to make data-driven decisions rapidly, track progress, and align their teams around common, visually-presented goals.

5. Analytics Platforms are Competitive

Analytics tools are more ubiquitous and competitive than ever. PowerBI, Domo, and Tableau, to name a few analytics tools, are not only available, but economical.

PowerBI comes prepackaged with many versions of Office 365. Domo now has a “Trial” version. Tableau is available for free exploration as “Tableau Public”.

In the last few years, the market for analytics platforms has become both saturated and commoditized. This means that those implementing organizational analytics now can get advanced analytics platforms at competitive prices.

6. Analytics Platforms are Capable

Analytics tools are more capable than ever. Analytics tools are optimized to bring in data from many disparate systems, combine and process the data, and present that data in a single dashboard. Domo has over a thousand pre-built connectors. If the connector doesn’t exist, it can almost certainly be economically built.

Modern analytics platforms also allow for one click filtering to relevant data and the ability to drill down into detailed data very quickly. When you add to those features the ability to collaborate with team members – inside your organization, or consultants and contractors – outside your organization, it becomes very clear that analytics platforms are capable as never before.

7. Analytics Platforms are Flexible

Analytics platforms can be customized. You can build your visualizations from scratch or you can utilize pre-built apps. Graphable has often found that organizations want to customize their reporting – because dialing in KPI’s is what analytics reporting is all about.

For instance, Graphable has found that often finance teams want specific customizations vs. a cookie-cutter application because each organization needs to look at financial data a different way. Check out David Zimny’s unique look at accounting analytics.

Organizational Analytics that aren’t optimized are perpetuating what they are meant to correct

Data transformation and the purposeful automation of KPI reporting can have a massive impact on an organization’s bottom line and the achievement of its goals. For teams still manually generating their reporting, the time and energy spent can and should be reallocated to executing on the results of automated reporting.

Every organization should consider implementing automated reporting or optimizing their current analytics reporting setup in order most effectively utilize the energies they invest in their organizational analytics.

Graphable’s data analytics consulting team has been implementing and optimizing analytics platforms for over 6 years and is structured to assist an organization where they are at to implement and achieve value from automated analytics.