Grow Dashboards

As the need for organizational users' to understand every aspect of growth and opportunities grows, so does the demand for Business Intelligence dashboards . Enterprise-class BI and analytics tools have developed a hold on the working efficiency of the companies without even raising a hand.  Visualization has improved with various options ranging from graphs, charts, gauges, maps, percentages, and comparisons of every piece of information available to the company.  Reduction in the time taken to develop valuable insights and rise in the learning curve in business executives works in the company's favor. Business analytics software tools have made it possible to act sooner and efficiently without manually going through data management every time.  How are Business Intelligence dashboards proving beneficial to organizational growth?  1. Strategizing Planning is a continuous activity in every company. You can not move ahead without planning and evaluating how and where your actio

Since the days when KPI dashboard software went popular, the market has been in good shape. Every company realized that using data to work for them would require the right set of tools and appropriate metrics to avoid taking the long road.  The competitive advantages brought about by integrating Business Intelligence reporting software into organizations are still on the move. But these benefits are undeniable. Therefore, as we reach the middle of the road in 2022, let's look at the trends on KPI dashboards.  What are the KPI dashboard trends for 2022? 1. Predictive Analysis will rule the world, turning into prescriptive. KPI dashboard is driving around innovation with its predictive analysis feature. But, the year shows signs of prescriptive analysis suggesting to teams the steps and ways to achieve the precited numbers. The Key Performance Indicators(KPIs) will help organizations measure and keep an active tab on their goals in real-time.  It will open up newer avenues for comp

Data analytics may sound a bit tricky to most. It is tough and takes plenty of time to master evaluating the data correctly to derive valuable insights for your organization.  Various data analytics tools available in the market can make your life easier. But what exactly is the broad domain of data analytics. Let's understand this first.  What is Data Analytics? Data analytics involves using data, Machine Learning, statistics, and many other computer-related models to develop better insights for your business. Naturally, it will lead to accurate decisions and improve the functioning of your organization.  One can define analytics as a process that transforms data into decisions and is further involved in problem-solving for better productivity. Let’s see how to choose the suitable data analytics software that meets your company’s needs.  What are the things to consider before choosing a Data Analytics Software? 1. Data Structures Always see what kind of data your team will requir

  We all know that data literacy refers to the ability to read and write. But, to be data literate, a person should be able to read, understand, monitor, and produce data for making important decisions. One can note that organizations and employers, up to 82% want their employees to be data literate and have related skills. Resulting in less than 30% workforce feeling literate in the U.S .  Even if the employers have high expectations for the employees to be data-literate, most executives fail to get any substantial value out of the company's data.  Some can understand the data but struggle to derive actionable insights from it. This condition shakes the basis of their data analytics projects from the base.  One can rightly say that the absence of data literacy can be dangerous for an organization and its productivity in both the short and long run. With Business Intelligence software tools , organizations can solve their data collection, analysis, and presentation problem with rea

Each one of the Business Intelligence and analytics tools might not be able to meet the companies and their users halfway down the lane. The real challenge occurs because of several of these tools. The options are too many for even the top BI tools. Thus, it is typical for companies and their teams to struggle to choose the best BI tools.   It is crucial to analyze your choices compared to a set benchmark. You can use several methods to arrive at the top BI tools for the best results. In the process, your teams might have to go from hundreds of options after looking at the demos and trials to consciously choosing a specific BI tool.  You and your teams can ask the following questions at various levels when selecting Business Intelligence and analytics tools. We've framed a set of questions that can help evaluate the suitability of your BI tool in meeting your and your end-users requirements. This scorecard is relatively easy to keep track of regularly. You can also ask your teams

A BARC study suggests that data visualization has become a rising BI trend in 2019. Business Intelligence dashboards are one major means through which data visualization has access.  A Business Intelligence platform can take raw and complex data to put together actionable insights for the whole of your company and its teams. Such powerful tools make it easier for an organization to create an overview of the most critical information and create a strategy based on real-time data input.  Having heavily invested Business Intelligence dashboards in your organization isn't the only source to create value in your decisions. Designing a dashboard matters more than investment. A visually stunning design should come with a better understanding of the data forms presented in the dashboards.  But, this doesn't mean that if you don't have access to a team of designing experts, your BI software will fall flat in the face. The following practices can ensure that your Business Intellig

The power to create a huge amount of data can be a big advantage in this era of intense competition for companies, only when they can leverage this data and mine something relevant from it. Thanks to cutting-edge BI tools , data mining and analysis have become a reality, not to mention data integration capabilities as well.  Data integration, when rightly brought into effect, becomes the fundamental block for Business Intelligence solutions in a large way.  In this post, we will talk a bit about the various data integration methods in brief.  A little to the basics first, though.  What is Meant by Data Integration? Data integration refers to the process of combining data from multiple channels to assist analysts in the easy evaluation of this data and make mature decisions for the organization. Managers can put their queries across this merged data for the discovery of relevant data by using various Business Intelligence software available in the market.  Given below are the data int