Achieve Faster Business Insights: Neebo & BI Platform Freedom
Large organizations can end up with a mix of different BI platforms being utilized by their analysts. Each BI platform has different features, processes, and ecosystems. Even the “language” used in BI platforms differs – one might refer to a graph as “viz” in one platform and a “look” in another platform. According to Forbes, the majority of business functions utilize two or more BI platforms. Typically each business unit has a favorite tool and implements it, accordingly.
While this multi-tool environment allows analysts choose the best BI platform to suit their skillset, it also hinders data unity and knowledge sharing between analysts in different business units. Building community for analysts provides consensus and trust and improves the analytics process.
Consider a common use case incorporating different BI platforms to understand how Neebo is a cornerstone for analytics process improvement.
A large organization has data analysts sitting within every functional line of business. These analysts undertake a multitude of different projects in support of the business unit’s objectives. These analysis projects are generally siloed efforts within the unit(s). Let’s take a look at two units – marketing and finance – within a large organization.
In this example, the marketing department focuses on different views of a company’s marketing data – for example analytics on surveys, segmentation, and market share research. They have their own data marts and use Tableau for their dashboards and reporting.
On the other hand, the finance department works on analytics focused on different views of a company’s financial data – accounting, sales, & risk management. They have their own data marts and use Power BI and Excel spreadsheets for their dashboards and reporting.
Today: A Laborious Process
In our situation, Marketing and Finance never talk to each other. Common in such a siloed process. It is too difficult to even know who to talk to, let alone understanding the analytics another department is performing.
They use different data marts and different BI platforms. They might be doing similar analyses, not only duplicating efforts but also reporting out different results. They might be hitting blockers because marketing needs financial data for an analysis or vice-versa. These functional departments are missing out on the strength of combined efforts because of the way analytical assets are controlled today. Analytics fiefdoms in large organizations are barriers for analyst unity and the multitude of BI platforms, with their own “language” hinders collaboration between departments.
Removing Labor From Collaboration
Neebo makes it not only easy to find analytics assets, like data and subject matter experts (SME) but to also share the output of those assets with the analytics community in the organization. Neebo makes BI platforms faster and more accessible.
Neebo makes it easy for people to find the right data, trust it, build on it and collaborate with it. That covers any type of data, insights and algorithms, with full context and transparency. Employees can continue to use their preferred BI platforms. There is no need to feel constrained by one ecosystem and no need to retrain employees on a new BI platform.
In our example, Marketing Analysts are searching for regional sales figures. They browse data and documentation in Neebo and quickly find a trusted SME within Finance – the owner of sales data. The analysts work together to understand the right data. They can share their work back and forth in any BI platform. Marketing can share Tableau dashboards with Finance and Finance can share Power Views and Power Pivots with Marketing.
Finance can build on marketing efforts and add marketing data on top of the analytics they are performing. They may use different BI platforms in their analyses but can view the output within Neebo. Accessing this information, they directly ask each other questions to produce a consistent and cogent methodology. For example:
- Are sales regions defined by state, by ZIP, or some other way and why?
- What is the optimal time period to analyze sales data?
- Is there valuable data that was overlooked or was previously unaware of?
- How are reporting measures calculated in your respective BI platform? Why?
Through collaboration in Neebo, both departments come to a solid understanding. They have consensus not only in the upstream assets but also have vetted the downstream processes of methodology and reporting. With Neebo, the analysts generated analytics that the departments and business managers can truly depend on. Through Neebo, the Marketing and Finance departments have created a new trusted analytics community they can depend on.
Give It A Try Yourself
Neebo makes BI platforms faster and more accessible. See how easy it is to foster collaboration and improve the analytics process by trying Neebo for free.