What if a teacher gave a child a box of crayons with only two colors? Can you imagine the disappointment of that child when they compared their crayon box with the crayons the other children received and realized that the other children had so many other colors from which to choose?
ElegantJ BI, an innovative vendor in Business Intelligence and Augmented Analytics, is pleased to announce that ElegantJ BI is named as Representative Vendors in the Gartner ‘Market Guide for Traditional Enterprise Reporting Platforms‘ report published September 28, 2017.
Manufacturing has certainly changed over the past few decades! Global competition is greater today and local or regional manufacturers can no longer hope to achieve a competitive advantage based on location and geography alone. Products, pricing, process, quality and features drive the market and consumers are willing to purchase products from competitors to get more favorable pricing or a better, more suitable product.
There is too much to do in a day to wait for someone else to give you the data you need. But, when it comes to data preparation and data analytics, business users are usually not comfortable with complex solutions that are time consuming or that require professional analytical skills. You pay your team members to have a certain type of expertise and that doesn’t always include technology or analytical knowledge. So, if you want them to be a real asset to the organization, you have to give them easy-to-use self-serve data preparation tools. Self Serve data prep allows business users to quickly gather and prepare data for analysis and to answer questions and solve problems without delay.
There is a lot to business intelligence and it is easy to get lost in the details but, if you want to promote a self-serve BI environment for your users, you will want to have a good understanding of your product options. Look for a solution that offers key performance indicator analytics, with an easy-to-personalize KPI dashboard. Look for business intelligence reporting tools that allow for drill down, drill through, and produce attractive, clear, concise reports that can be easily shared and that are accessible on mobile devices with diverse sizes and screen resolution.
Smart data visualization takes the guesswork out of data analysis. Why ask your business users to use cumbersome, difficult tools to analyze data or expect them to wait for professional analysts or IT staff to satisfy their analytical needs. They have a job to do and you hold them accountable for results but if they don’t have the right data visualization tools, they can’t get the most out of data.
Business intelligence has become a crucial tool for business users and for organizations large and small. It was only a matter of time before social business intelligence took over the enterprise! Sharing data and content is a habit for all consumers and consumers have jobs. Within the context of those jobs, a consumer becomes a team member – a business user who now uses social business intelligence tools to gather, analyze and share data and make better, more dependable decisions.
Predictive analysis is very important to your organization. If you can dependably predict and forecast results, you can stay ahead of the competition, address changing customer needs, capitalize on opportunities and solve problems before they negatively impact your enterprise.
Every enterprise is talking about Business Intelligence and Advanced Analytics. Every enterprise has considered the benefits of implementing self-serve analytics across the organization and involving business users in the process. Panel discussions at technology conferences and hallway conversations among executives and IT staff encourage the trend and create anxiety within the organization that has not yet embraced advanced analytics at the grassroots level.
I know many of you balk at the idea of upgrading or acquiring BI tools. The benefits of business intelligence software are well known but organizations are often discouraged by what they perceive as the high cost and long implementation time required to complete the project.
