Incentius announces partnership with a leading global non-profit organization. Marketing January 10, 2022

Incentius is an analytics, modeling and reporting company targeted at helping consulting companies obtain better efficiency. The firm is pleased to announce a partnership with a non profit organisation to upgrade a legacy application to a more modern data and analytics stack. 

As part of this engagement, the expectation from the client is to deliver:

  • Re-architecture of data structure.
  • Migration of legacy data into new data structure
  • Automation of data ingestion and processing
  • Dynamic dashboard generation in PowerBI

We will provide technology and analytic support to the client and help them unlock extra value from their data assets. With a focus on simplifying the data management process, the in-house team aims to standardize on a modern, easy-to-use secure survey analytics structure that allows them to offer reports across various markets. Our team will be supporting implementations in PowerBI and rearchitecting their legacy data store. 

About Incentius: 

Incentius founders have years of experience in sales analytics, operations and administration. They form part of an in-house advisory team that provides key business and industry insights to all analysts to discharge their duties. This creates a key value add that clients receive. As a result services offered include experience and industry knowledge in addition to excellent resources. The advisory team is constantly looking to apply standard tools from other practice areas to sales analytics including machine learning techniques, predictive modeling, etc. 

PowerBI vs Tableau: What Should I Choose for my Business? Marketing April 16, 2021

Let’s start this article by understanding business intelligence software and data visualization. Business intelligence software transforms data into actionable insights. It provides visualization to the company’s data and analyzes it. Data Visualization means the graphical representation of companies’ insights. It helps us to represent a visual summary to bring out insights easily. The analysis becomes easy when data is represented in patterns. Charts, graphs, tables, and maps are some of its elements. PowerBI and Tableau both are business intelligence and data visualization tools. Both of them are good in their own ways. It is hard for a developer to choose one tool. Let us first understand both of them in brief.

PowerBI

PowerBI is a business service analytical tool launched by Microsoft in 2011. It connects the data with amazing visualization models and graphics. It helps companies to make quick and accurate decisions. It maintains data security and accuracy. Microsoft products like Azure, Office 365, and Excel are currently using PowerBI. It is low-price and suitable for startups with less investment. It bridges the gap between data and decision-making by its visualization. It will help us to analyze and promote data efficiently.

Tableau

Tableau Software is a data visualization software. It was developed by an American interactive company in 2003. It helps us to explore and download data quickly. Its algorithms help us to organize and combine data from various sources. It helps us to transform data into dashboards that can be shared easily. It is accessed on our desktops, tabs, or even on mobile phones. A free version of Tableau is also available but with limited facilities. The more money you pay, the more features you get.

The Key Differences between Power BI and Tableau

Let’s see a comparison between PowerBI and Tableau under the following parameters

  • Cost
  • Data Visualisation
  • Bulk Data Handling Capabilities
  • Integration
  • Setup
  • Functionality
  • Popularity

Cost

PowerBI is cheaper than Tableau. PowerBI is set up by Microsoft, it is pocket-friendly. It is freely available without any basic download charges. PowerBI is pretty affordable.

Tableau comes with a 14-day free trial with basic tools only. The more price you pay, the more you get. It is a non-profit tool, especially for startups.

Data Visualization

PowerBI focuses on data manipulation and reporting. It focuses on data manipulation more. It provides simple visualization tools. Tableau is better for data visualization and scaling. It has the best data visualization tools.

Bulk Data Handling Capabilities

PowerBI cannot handle bulk data easily. It cannot be used for import functionality. It is not efficient in handling huge data. That’s why it is suitable for smaller companies.

Tableau can manage huge data more easily than PowerBI. Tableau is suitable for large companies.

Integration

Both PowerBI and Tableau can integrate with a third party. But Tableau has invested a lot in its integration. That’s why it is better in out-of-box integration.

PowerBI provides API access and out-of-the-box dashboards.

Setup

PowerBI comes in three forms. These forms are PowerBI mobile, PowerBI Desktop, and PowerBI service. These elements will let us create, share and consume business insights easily.

Tableau comes in four forms. These forms are Tableau Prep, Tableau Desktop, Tableau Online, and Tableau Server. With the help of any of these forms, you will set up your initial instance. It will give us access to the tool.

Functionality

PowerBI cannot answer every question. Tableau can answer the user’s queries. As it is more modern than PowerBI.

Popularity

Although Tableau is older than PowerBI, it is less popular. PowerBI has a community of approx 5 million users whereas Tableau has a community of just 0.25 million users.

Power BI vs Tableau: Which is Best? 

The above parameters clearly define both of them. If you have less investment, go for PowerBI. It is pocket-friendly, especially for startups. The larger companies can prefer Tableau because it can handle bulk data easily.

PowerBI is more user-friendly and simple to use. It gives easy access to data for any user. It is more popular with 5 million users in 2016. 

Tableau offers a good analytical toolset. It wins in speed and capabilities. It is less popular than PowerBI with 0.35 million users in 2017.

Both of them are very distinct. The company can choose any one amongst these according to their organization’s preferences.

Conclusion

Both are powerful and reputable data visualization tools. They have their strengths and weaknesses. But the final decision depends on the company’s needs.