DATA ANALYTICS AND ROBOTICS PROCESS AUTOMATION ( RPA )
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If you Google “ data analytics ,” 2.39 billion results will be at your fingertips . This vast amount of information can be overwhelming , especially if you ’ re just starting out and unsure of where to begin . However , understanding data analytics and leveraging Robotic Process Automation ( RPA ) doesn ’ t have to be complicated . In fact , they can be powerful tools for simplifying and automating routine tasks , enabling your team to focus on more value-added activities .
Simplifying Data Analytics and RPA
Think of data analytics and RPA as technologies that automate repetitive and manual tasks . For example , your team might spend time pulling monthly sales reports or organizing invoices into folders on their computers . By leveraging technology , these tasks can be streamlined and automated , saving valuable time and effort .
Ways To Get Employees Onboard
Companies spend a lot of time gathering information like profitability , key performance indicators , and cost drivers . However , the process of obtaining this information can be so time-consuming , that can get in your team ’ s way of using that info to make informed decisions and drive improvements . By deploying data analytics and RPA solutions , the key information you need will be readily available at your fingertips . Now , everyone within your organization can access the same information simultaneously .
Additionally , data analytics provides the advantage of visualizing complex data sets through interactive dashboards and reports . These tools present information in a visually appealing and digestible format , enabling users to identify trends , patterns , and insights that might have otherwise gone unnoticed . By leveraging data analytics , you empower your teams to make data-driven decisions efficiently and effectively .
You can view a sample dashboard at https :// rb . gy / js6zl .
Sounds Expensive ?
While the idea of implementing data analytics and RPA might sound costly , there are actually many affordable and accessible tools available in the market . For instance , Microsoft Power BI is a popular tool that provides a great starting point for your journey into data analytics . The desktop version of Power BI is free to use , and sharing dashboards and reports within your organization can cost as little as $ 10 per user per month . By utilizing existing tools like Power BI , you can leverage their capabilities without significant upfront investments .
How Do We Get Started ?
Follow a structured approach when embarking on your data analytics and RPA journey . Here ’ s a five-step process to get you up and running in no time :
1 . Evaluate how data is currently managed within your organization . Are there data silos among different departments ? Do you have well-defined processes in place to clean and organize your data effectively ? Identifying existing data challenges is crucial before implementing any new solutions .
2 . Assess the quality and accessibility of your data . Is the data residing in a centralized system , or is it scattered across various sources ? Ensuring that your data is stored in a structured manner and easily retrievable is essential for efficient data analysis .
3 . Consider any upcoming changes to your systems , such as implementing new software or undergoing an Enterprise Resource Planning ( ERP ) upgrade . Determine if any updates or modifications are necessary to integrate data analytics and RPA tools seamlessly .
4 . Evaluate the tools you are currently using for data visualization . Are they meeting your requirements , or do they need to be simplified or built from scratch ? Select a tool or platform that al-