Data analytics software is used for quantitative and qualitative analysis of business data to boost productivity and profits. With data analytics software, businesses can extract and categorize data, and identify and analyze patterns and behaviors to gain insight. Global enterprises collect and analyze data related to practical experience, market economics, business processes, and customers. This data is stored and analyzed to learn buying patterns and trends, and the insight thus obtained is utilized to make smarter decisions. For instance, a social networking site can collect user data and use data analytics software to learn key customer trends that they can utilize to enhance their layout, content, and overall strategies. Start by checking our leader Sisense, and other recommended solutions in this category.
In order to prepare this ranking of best Data Analytics Software we have researched 314 leading tools currently present on the market, comparing their features, how easy are they are to learn, customer support, possible integrations with other systems and mobile device support with our exclusive SmartScoreTM rating system. This list has been developed by Jenny Chang, our software aurhority responsible for the Data Analytics Software category.
CloudRank™ system is a unique algorithm that our research team uses to evaluate Data Analytics Software solutions in a detailed and accurate way. The Winter 2022 edition of the ranking was prepared by Jenny Chang, our leading expert in the field of Data Analytics Software, who has authored 1380+ product reviews in this category. The goal of CloudRank™ is to present an unbiased, multi-layered perspective on Data Analytics Software, considering a wide range of metrics and factors, and educating potential customers about both opportunities and challenges associated with each piece of software.
In order to achieve full objectivity the position in our CloudRank™ is based on:
We’ve calculated a score for each product based on the average experience shared by our users in their product reviews and arranged the list in three tiers. You can see the methodology below on how the calculations were made.
Regardless of their tier, all products included in our CloudRank™ are popular, quality products considered top-performers by our team of experts. Make sure you read a more detailed review of each solution to find one that will work best for your specific needs and budget.
Show lessMARKET POSITION
A score between 1 and 10 based on popularity and market reach of each product.
TOTAL score
A score between 1 and 10 based on the average of our Expert Score and User Score.
Market Position
A score between 1 and 10 based on popularity and market reach of each product.
Total Score
A score between 1 and 10 based on the average of our Expert Score and User Score.
CloudRank™ tier
Based on product's total score.
Rising Star
Contender
Front Runners
Here is a list of all 25 Data Analytics Software solutions evaluated with our CloudRank™ analysis. We have compared their features, user satisfaction, market presence and other key factors in an in-depth analysis you can find below:
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Our report covered 25 most popular products from the Data Analytics Software category. We’ve analyzed their features, performance, integration, customer support, pricing, and several other key buying factors and combined it with feedback from user reviews to come up with the current list of best solutions:
Klipfolio managed to best 24 other competitors for the top spot in this year’s data analytics software CloudRank. Formerly known as Serence, the company initially focused on the consumer market and later moved into the dashboard and business intelligence space. Today, Klipfolio is one of the world’s leading data analytics software in the market.
This software is a cloud-based platform that allows businesses to build real-time dashboards that visualize critical data, automate data retrieval, and then manipulate it. It has a simple, intuitive interface engineered to aid its users and their organizations acquire real-time data from over 500 data sources which include web-based services such as Google Analytics, social media platforms like Moz and Twitter, on-premise data warehouses. This allows its users to make the most intelligent business decisions, take the best course of action, and drive their businesses towards success.
By seamlessly integrating with a wide array of data sources, Klipfolio can easily access mountains of information and automatically integrate and analyze it. This allows its users to focus on making better business decisions based on reliable and accurate data. As such, it comes to no surprise that more than 8,000 businesses trust Klipfolio to help them in their journey to grow their brands.
Most users of Data Analytics Software solutions confirm that in most cases these tools allow them to reach the following business goals:
The Winter 2022 version of the report includes a total of 25 Data Analytics Software products that were compared and analyzed by our team. We selected them based on the following factors:
The estimated number of IoT connected devices by 2025 is 75.44 billion worldwide. As you can imagine, all these devices are producing data that businesses can use to gain a better understanding of their operations, develop new products and services, and provide a more personalized customer experience.
In order to extract actionable insights from the large volume of data produced by the IoT, data analytics must take place. This will increase the reliance of businesses on data analytics software and other business intelligence tools that can make it easier to organize and make sense of the data they receive from various sources.
Source: Statista
NLP capabilities help organizations better understand the context of their data. For example, it can help identify patterns in text search, understand social media sentiment, and make document review more efficient. It’s the technology that makes it possible for us to “talk to machines,” so when you need to know how your business revenue has changed in the last quarter, you simply ask the question. This is the same technology used in AI assistants like Siri and Alexa.
Several BI software in our top 25 already integrate NLP in their features. Sisense and Tableau, for instance, can narrate data visualization with text. As a result, the subjective interpretation of graphs or charts can be avoided.
Currently, NLP is not perfect; however, we can expect that the technology will improve and more BI and analytics vendors will include it in their product. Doing so will not only enhance user experience when performing queries but also make their product easier to use.
Improved efficiency and productivity Faster, more effective decision making Better financial performance Identification & creation of new product & service revenue Source: StatistaGlobal Survey: Benefits of the Use of Data & Analytics
Improved efficiency and productivity: 64
Faster, more effective decision making: 56
Better financial performance: 51
Identification & creation of new product & service revenue: 46
Graph analytics, also called graph database, makes complex relationships between data simpler to understand via visual structures made up of lines and dots. Marketing managers, for example, use graphs when performing social network analysis. By studying a visualized representation of their data, they can identify strong influencers to work with in triggering interest and reactions for specific campaigns.
Aside from marketing, graphs analytics can also be useful in spotting fraud or detecting money laundering activities. For instance, large transactions between bank accounts can be spotted and flagged by authorities.
In other industries, graphs analytics can streamline processes in manufacturing and optimize routes in the aviation industry. Governments and scientists have also been using the approach to fight the COVID-19 pandemic. Graphs can be used to determine cases and perform contact tracing.
With a wide range of applications and benefits, it’s not surprising to know that graph analysis is expected to experience 100% growth until 2022. This makes us certain that BI software vendors will continue to enhance the data visualization capabilities of their products.
Data analytics software is used by organizations and companies to get useful insight from the business data they collect. There are scores of quality programs in this niche. So, how do you do informed comparisons to select the best data analytics software for your needs? We make your task simpler by detailing the key factors and features that you should look for in data analytics tools.
Start your search for the best data analysis software by registering for the free trial or demo of top tools. Popular data analysis software providers present this facility to help you try out their solution’s main features free of cost. You can also utilize the opportunity to do a detailed comparison with other apps. We recommend you check out Google Analytics, IBM Cognos, MATLAB, Tableau, and Minitab. These products have been given high ratings and rankings in our data analysis software reviews.
Small, medium-sized, and large companies, as well as multinational organizations and global enterprises, can utilize data analytics software to make the most of the business data they collect.
data analytics tools can be used to perform 4 main types of analytics:
Data governance. The European Union’s General Data Protection Regulation (GDPR) and other data regulations have made data governance important of late. Apart from regulatory compliance, another driver is data catalogs which make data sets in a data lake more organized and discoverable. Data discovery solutions help to make your data lake more usable. Thus, data discovery tools and data catalogs are further expected to drive the governance wave.
Cloud data lock-in. Data lakes based on cloud storage are being widely adopted. In fact, data lakes are an important selling strategy of top cloud vendors. Companies that store their data in a particular cloud solution are likely to do their analytics work on the same platform. This includes data preparation, predictive modeling, analytics, and model training. Thus, the winning cloud vendor is likely to get more business as they will lock in their clients.
Technical issues. In a survey by SearchBusinessAnalytics.com, businesses named implementing analytics technology, consolidating these technologies, and managing multiple analytics tools as the top challenges they face in deploying analytics software.
Effective use of analytics. The above survey also found that effective use of analytics is another main challenge faced by companies. Other concerns are expanding the use of analytics technology to more users, and getting executive support and funding for analytics projects. Industry experts state that to successfully deploy analytics tools, companies need to focus on improving collaboration with business users and ensure they are able to efficiently utilize the new technology.
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To select an apt SaaS provider you need to consider important criteria such as privacy and security, support and service, and transparency.
Find out if the vendor can be trusted with data security and privacy. Do they have processes in place to protect your sensitive information and data? Find about the security processes they use. This is an important element of a SaaS solution that cannot be over-emphasized.
It is crucial that the provider offers reliable support to resolve any concerns quickly. Ask your potential providers the following queries: Do they provide consulting and training services to assist your employees to use the software competently? Do they have an online support center that has valuable articles and training materials? What channels of support do they offer? Do they monitor issues till they are resolved? Is customer satisfaction measured?
Does the SaaS vendor conduct their business in a transparent and open manner? You can find out by requesting them for references you can contact. Talk to existing users of the solution to learn about the quality of service offered. Does the provider make public the algorithms they employ in the software? Ask these queries to find a SaaS provider whom you can trust with your confidential customer and business data.
The best data analytics software is Sisense. Sisense is a business intelligence platform that offers a comprehensive set of features that simplify data collection and analysis, making it easier for users to make data-driven business decisions. The platform is flexible, too, making it the ideal data analytics solution for businesses of all sizes.
With Sisense, users can easily combine data from multiple sources to gain valuable insights from a single source of truth. Built-in connectors for tools such as Excel, Google Adwords, and Zendesk ensure that joining different data sources takes just a few clicks. This ease of use ensures that users can spend less time on scripts and code and focus on analyzing data. These seamless integrations also improve accuracy even for large data sets.
Sisense is also designed for quick deployment and onboarding. Users can build interactive dashboards and reports through drag-and-drop functions. The system also comes with built-in data visualizations to help users discover insights more quickly. In addition to these features, Sisense provides AI-assisted exploration and automatic analysis to make data and insights more accessible to users.
Valuable business insights. Through data analytics software, users can discover valuable insights in the data they collect and use these insights to make more informed data-driven business decisions.
Advanced data analysis. Data analytics software can easily collect, process, and analyze large volumes of data. These platforms often come with features for forecasting and identifying trends in data as well.
No information silos. With data analytics platforms, data and insights are accessible to all users in the organization. The platform’s ability to combine multiple data sources also improves the accessibility of data.
Data accuracy. Data analytics systems can ensure that users work only from clean, organized datasets, and these tools’ built-in integrations for third-party tools help prevent errors caused by manual input.
Improved productivity and efficiency. Through these tools, users can spend less time tracking down data and instead focus on analyzing data. As a result, users can take advantage of data insights to improve their organization’s efficiency.
Dashboards and data visualization. Most data analytics software can visualize data and put graphs and charts on dashboards for easier tracking. These dashboards are also customizable so users can track key metrics for their organization.
Custom reports. Many of these solutions come with templates to help users quickly generate generic reports. Users can also create customized reports to drill down into more detailed data levels and take full advantage of available data.
Mobile access. Data analytics software also provide mobile access, so users can access data whenever needed. Some platforms offer web-based dashboards for this purpose, while others come with their own mobile app.
Integrations. The best data analytics software come with built-in connectors and integrations to ensure compatibility with third-party systems like CRM software and sales tools. These integrations can help users save time and effort in integrating multiple data sources.
Security and access management. Data analytics tools allow business owners and managers to set various user roles and access levels to ensure that only authorized users can access important business data. Other security features of data analytics software include SSO and data encryption.
Data analytics solutions that are easy to use ensure faster deployment and adoption. The following tools are popular for their intuitive interface:
Salesforce Analytics Cloud. Salesforce Analytics Cloud is powered by Einstein Analytics and Tableau, both of which make it easier for users to visualize data and discover valuable insights. Users can use guided data exploration to query data and analyze data sets.
Looker. Looker ensures that data is easily accessible through built-in integrations with tools such as Google Drive and Dropbox. The platform also makes it easy for users to design their own data visualizations.
Reveal. Reveal is built on flexible architecture, so users can quickly embed data from the software into existing applications and tools. Dashboards are also responsive to enable real-time monitoring of KPIs.
Contrary to popular belief, data analytics software won’t necessarily burn a hole in your wallet. The following data analytics platforms have free plans available:
Qualtrics Research Core. Free users of the platform can build surveys with unlimited questions and up to eight question types. The Free plan also includes survey logic and randomization features, as well as summary reports and online reporting.
Zoho Analytics. The platform’s Free plan includes use by 2 users, as well as unlimited dashboards and reports. Users can also access up to 3 query tables and 5 workspaces and use the platform’s mobile app.
Google Analytics. One of the most popular data analytics platforms today, Google Analytics is a freemium web service that allows users to monitor a single website or mobile app through tracking codes, which collect data from site visitors.
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