How it can contribute to your employees’ productivity

Analytics is becoming a core asset to most companies, and this results in a new consumer demographic. The disadvantage is that they are often unfamiliar with its manipulation, making it a tool that helps contribute to employees’ productivity but in a limited way.

However, now, with the introduction of embedded analytics, the way of managing operational activities has been revolutionized. Employees (i.e. financial controllers, banking managers, salespeople) do not have to know how to manipulate complicated reporting tools. Because embedded analytics provides them with both; tailor made analytics applications but also directly embedded data into more useful, operational applications that they can consult and use on a daily basis.

This makes embedded analytics more practical; more reliable, faster, and it helps deliver a service even on a continually growing volume of data.

So, where was the problem, why wasn’t analytics enough? 

Employees requested tools to help them in their daily work. For instance, reducing the time spent calculating a KPI, to be more productive.

The usual solution was to create multiple dashboards and implement them into projects. Thanks to the emergence in the last few years of self-service reporting, they could create their own independently. However, regarding the number of available dashboards, only a few of them were opened or regularly used. Moreover, we noticed that it contributed to employees’ productivity, but not drastically improving it.

Let’s try to consider the whole picture to describe some of the problematics encountered by employees when using multiple dashboards and self-reporting tools:

  • Scattered analytics: How to deal with multiple dashboards? You have to open them all, set in each the same context (filter, drill-down level, and other contexts – if these dashboards have the same navigation design!), and make the reconciliation yourself. The best-case scenario; you have multiple screens, but this is still not ideal.Too many diverse displays: Is your dashboard a picture or a file (PDF, PowerPoint…) inside an e-mail? Is it a link towards a reporting tool?
  •  Difficulty to recover an older version: Do you have to keep files on your computer or in a shared folder (in this case, how to prevent access to confidential data)? Or does your dashboard allow you to recover KPI’s as they were two years ago? Going back in your e-mails is tedious and a loss of time.
  • Uncoordinated utilization: When you need to use different BI reporting tools, with some using a desktop, and others a browser (with an URL for each environment).
  • Not user-friendly: Most of the reporting tools aren’t designed to be user-friendly for non-IT users.
  •  A question of trust: How to trust a KPI from another dashboard, if everyone can create their version (how to share standard rules)?

To solve the majority of these problematics, the solution may lie in creating a specific and custom application.

This is where embedded analytics is necessary.

One of the advantages is that it can be easily integrated into everyday activities. This helps employees save time and be more productive because the data can be embedded into applications they open regularly. For instance, a salesperson could have their performance figures in the same place as they enter their contacts, agenda, etc… Or, the department manager, could have information on sales of the previous day in their inventory management application while shelving the products.

Another aspect of embedded analytics is that it is easily accessible and can be customized depending on the user (typically, the dashboard can be filtered according to the profile or identity of the person).

NODATA – It’s not only about data

NODATA is designed like a responsive « data storytelling » tool.

It gathers and picks the necessary data for an employees’ activity that might be incomprehensible at first, and turns it into useful and clear analysis. Thanks to the drill-down, employees can independently access details to analyze the figures and explain them.

This also has the advantage of saving time for IT employees who can often be solicited for needs of access, extraction, … so this also improves their productivity by letting them focus on value-added tasks.

To improve productivity, communication is key. Therefore a collaborative feature was invented; the Comments. These comments are related to the data shared with other users and are extremely valuable. They are an excellent time-saving vector, so when an employee has a question or needs to provide an explanation on specific data, this avoids them wasting time while looking for the conversation on specific data in their history, in the enterprise messaging application, e-mail, or physically going over to their colleague to discuss about it. Now, in just a few seconds, employees can access this powerful tool, with many customization possibilities (permissions, visibility…).

Embedded analytics is not necessarily a static application, meaning that it doesn’t just display the information, but it implements tools to interact with data by using transactional requests towards data platforms. For instance, if you see a number and correct it, it returns the information to the database, so it becomes an operational tool.

It is interesting to remember that at first, analytics was a tool that was reserved for only a small number of companies that owned a data warehouse/data mart, to give them better insights and understanding of their activities. However, little by little, it became a more vital and essential tool for multiple functions and teams, slowly replacing old static excel files or obsolete software.

And now, with embedded analytics, the process of operational activities has been taken to another level, letting employees focus on productivity through data-based insights.

If you’re ready to augment your data to contribute to your employees’ productivity in your company, then you need NODATA!

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