With the Right Augmented Analytics You Can Satisfy Business Users and Data Scientists! The renowned technology research organization, Gartner, states that ‘30% of organizations will harness the collective intelligence of their analytics communities, outperforming competitors that rely solely on...
With the Right Augmented Analytics You Can Satisfy Business Users and Data Scientists!
The renowned technology research organization, Gartner, states that ‘30% of organizations will harness the collective intelligence of their analytics communities, outperforming competitors that rely solely on centralized analytics or self-service.’ To achieve these goals, businesses must provide analytics and tools that are suitable for business users, and for data scientists and business analysts and all others who will participate in data analytics to achieve goals and objectives – in other words, a solution that will meet the needs of every user in every role in the enterprise!
‘Solutions that are designed to support users and roles working at all levels can ensure user adoption and optimize the contribution of data champions, business users, data scientists and IT.’
When a business considers the analytics solution market, it may find a variety of options, from restrictive, complex solutions to simple solutions designed for business users. It is difficult to create a balance and find tools that will be sophisticated enough to provide the support a data scientist needs and wants while still offering business users with average technical and analytical skills a solution that allows them to participate in new data literacy and data democratization initiatives.
A business can use spreadsheets and complex algorithms to perform analytics, or it can select a robust solution, deeply engrained in analytical techniques and designed for those with advanced training. But those options do not allow business users to participate!
Achieve Balance Between Function and Usability
When a business chooses an augmented analytics solution, it can satisfy the needs of business users with sophisticated functionality that is ‘built-in’ and will allow swift, accurate analytical activities without advanced skills. That same solution should also offer more advanced options and tools to enable data scientists, business analysts and IT team members to work at a level that is commiserate with their needs and roles and will integrate with tools they need and use on a daily basis, e.g., R Script, etc.
Choose a Solution that is Mobile and Accommodates User Needs
Complex, restrictive solutions do not easily lend themselves to a mobile environment. A myriad of columns and required field choices, will not allow users to access and report easily on mobile devices. Choose a solution that allows users to leverage desktops, tablets, iOS or Android devices and provide simple navigation and tools that can be used by any and all users on the road, in the office or working remotely.
Select a Solution that will Grow with the Enterprise
The need to add functionality or customize features can become costly and can mean that upgrades and user needs will be left behind in favor of budget restrictions. Choose a solution that makes it easy to add users, to personalize and customize dashboards to satisfy advanced users and to provide flexible reporting and infrastructure and licensing to ensure that the solution will grow with the organization.
Encourage Collaboration and Embrace New Roles
Traditional analytics solutions are designed to support advanced skills and roles. Solutions that are designed to support users and roles working at all levels can ensure that data champions, business users, data scientists and IT can collaborate, share creative analytics approaches and build data literacy and data democratization across the enterprise.
‘Businesses must provide analytics and tools that are suitable for business users, and for data scientists and business analysts and all others who will participate in data analytics to achieve goals and objectives.’
Advanced analytics solutions can be expensive, time-consuming to deploy and upgrade and difficult to optimize. These solutions are not meant to accommodate the skills and needs of business users. But the organization does not have to sacrifice functionality and advanced capabilities in order to give business users what they need. By selecting an augmented analytics solution that is comprehensive and advanced, the business can have the best of both worlds and satisfy the needs and roles of data scientists and business users.
Explore the advantages of Augmented Analytics Products And Services. Let us help you implement a solution that will be suitable for your team members and your business results.
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