The best data analytics software for 2020 is Sisense because of its simple yet powerful functionalities that let you aggregate, visualize, and analyze data quickly. Moreover, this platform has a scalable architecture that allows it to handle a wide range of data volumes, making it great for small and large businesses alike.
The digital age has made it easier for professionals to access data that would allow you to optimize your business performance. However, to leverage this information, you will need data analytics software that can provide you with tools for data mining, organization, analysis, and visualization. Moreover, it should be equipped with AI and advanced algorithms to transform your raw data into valuable insights instantly. This way, you can keep up with business trends, and even find ways to further improve your overall operations.
However, there are plenty of factors involved in finding the right analytics tool for a particular business. From checking its performance to figuring out how well it plays with other systems, the research process can be overwhelming. So, to help you, we have compiled the leading products on the market and assessed their functionalities and usability. This way, it will be easier for you to determine the best possible data analytics platform for your operations.
Handling data from collection to visualization is a challenge in itself, even more so as it the amount of data you process grows. Furthermore, a scalable system is a requirement as data grows in volume each day. Hence, you’d want to have an application equipped with the architecture and technology that can support your data analytics processes.
In Kaggle’s survey on the State of Data Science and Machine Learning, more than 16,000 data professionals from 171 countries and territories revealed the challenges they encountered in the field. Respondents were asked to choose all factors that apply to the difficulties they faced.
Lack of Data Science Talent%
Lack of Management or Financial Support%
Lack of Clear Questions to Answer%
Data Science Results Not Used by Decision-Makers%
Explaining Data Science to Others%
Lack of Significant Domain Expert Input%
Organization Cannot Afford a Data Science Team%
Source: Business Over BroadwayDesigned by
Results showed that the top challenge for data scientists is dirty data (36%). Next comes the lack of data science talent (30%), company politics (27%), not having clear questions (22%), inaccessible data (22%), and results not used by decision-makers (18%).
There are also problems with the difficulty of explaining data to others with 16% and privacy issues with 14%. Meanwhile, 13% of data professionals revealed their small organization couldn’t afford to have a data science team.
These issues call for the importance of maximizing the capabilities of technology doing so much more beyond recognizing your organization’s bottlenecks. Today’s data analytics tools are easier to use and more affordable for all sizes of companies. This is vital, especially when considering the value it can bring to your organization.
For instance, content companies can use a data analytics tool to keep their audiences by clicking and watching their content. Another example is for gaming companies to get their hands on relevant data to keep players active in the game by providing rewards.
Of course, it’s not new for companies trying to be data-driven in their decision-making processes. According to a report by NVP, 85% of companies are transitioning to become more data-driven. However, only 37% of them become successful.
To ensure effective implementation, one of the first things to prioritize is choosing the right data analytics software. An excellent place to start is getting to know the leading products in the niche by checking out our list of the 20 best data analytics software. You can also read our article on how to use analytics in HR to improve your brand. This way, you can further assess exactly how you can leverage analytics to refine your workflows and boost your products and services.
Sisense offers a robust data analytics system that brings analytics not just to data scientists, but to all business users as well. It simplifies business data analytics even to non-technical users through its set of tools and features. Insights are extracted instantly by any user using self-service analytics without hard coding and aggregating modeling. Some of its top features that enable you to do so include its personalized dashboards, interactive visualizations, and analytical capabilities.
Its dashboard is one of its top features that enable you to filter, explore, and mine data in just a few clicks to get instant answers to your questions. With its in-chip technology, data analytics can be performed faster with richer insights. Furthermore, it provides you with advanced analytics through an improved, advanced BI reporting and predictive analytics by integrating R functions in your formulas.
It is best to test the features and functionalities of the tool first so that you’ll know if it matches your requirements. To do so, you may sign up for Sisense free demo.
Detailed Sisense Review
Looker is a data analytics platform that allows anyone to ask sophisticated questions using familiar business terms. It delivers data directly to the tools and applications used by your team, including custom ones.
In simple terms, the platform gathers and extracts data from various sources and then loads it into an SQL database. From there, it undergoes the platform’s agile modeling layer for custom business logic and, finally, makes it available for all users through dashboards, shared insights, and explorations.
As a browser-based solution, data is conveniently accessible in your existing systems and easily shareable to everyone in your team. Exporting can also be done both locally and directly to platforms such as Google Drive and Dropbox. If you are interested to know this solution’s features better, the Looker free demo can be a great way to get started.
Detailed Looker Review
Formerly Zoho Reports, business data analytics platform Zoho Analytics hosts different components. These include KPI widgets, pivot tables, and tabular view components. Thus, it can generate reports that offer very useful insights. The system promotes collaborative review and analysis, allowing users to work with colleagues on report development and decision-making.
What’s good about the system is that businesses can embed just about any report or dashboard in their blogs, websites, and apps. The system even has state-of-the-art security practices that include connection encryption. It can also be used by ISVs and developers the solution in the building and integration of analytical and reporting functionalities into their systems. Zoho Analytics offers a free trial and test drive its features at no cost.
Detailed Zoho Reports Review
Yellowfin is an end-to-end business intelligence solution created to help companies make better sense of their data. Equipped with comprehensive analytics features, market-leading collaboration tools, and machine learning capabilities, this is great for getting actionable insights from your company’s performance. It allows you to get data-driven predictions that can be used to make smarter business decisions. The software even has multiple data visualization options so you can present your data, however you prefer.
Accessible via desktop and mobile devices, Yellowfin also comes with a web API that lets it integrate with a wide variety of business systems, add-ons, and widgets. This means you can easily extend its functionalities depending on the changing needs of your business. Alternatively, you can merge it with your existing software solutions to streamline your workflow. The vendor has an appealing free trial where you can tinker with the features at no cost.
Detailed Yellowfin Review
Periscope Data by Sisense combines business intelligence and analytics into a single end-to-end platform to provide modern business with a solution for collecting data, analyzing them and sharing the insights garnered to the team and their customers.
It aggregates distinct data sources into one single source of truth and then utilizes advanced analytics and BI reporting to make the most out of them. The platform offers a wide variety of visualizations and charts to choose from, and you can even create your very own if that’s the more beneficial course of action to take for your organization.
Its predictive analysis feature, together with its Natural Language Processing capability, which can streamline the analysis of unstructured data, helps keep your business competitive and proactive. Working with data is also made simpler and more efficient thanks to the integrated Python, R and SQL environments.
Detailed Periscope Data Review
Domo is a data analytics solution that aims to provide a digitally connected environment for your data, people, and systems. Your business’ data is put into work for all employees in your organization through real-time data refresh and drag-and-drop data preparation capabilities. Furthermore, partners outside of your organization also get to engage with your data to increase productivity and the ability to act on them.
Using a holistic view in your system, you can make more informed actions with the tool’s 7 platform components working together. You are notified with predictive alerts to bring crucial matters and issues into your attention with enough time before they make an impact on your organization.
Detailed Domo Review
Qlik Sense is powered by the associative engine to deeply extract insights commonly missed by other query-based data analytics tools. It does so by indexing each possible relationship between data and combining them from various data sources into a centralized view. The cloud-based data analytics platform provides you with flexibility in providing the right solution for various cases for analysts, teams, and global enterprises.
The absence of pre-aggregated data from standard query-based tools paves the way for asking new questions and generating analytics even without waiting for the help of experts in building new queries. Sharing of insights is made with ease regardless of your organization’s size as the system enables work collaboration in a secure, unified hub.
Detailed Qlik Sense Review
GoodData is an end-to-end, secure cloud data analytics system that caters to your entire data pipeline—from the moment you take in data to the time you deliver the insights you generated. It is not only available to enterprises, but partnerships and software companies as well. The product is mostly used in industries such as insurance, retail, financial services, and ISV.
This smart business application integrates insights directly into your point of work to expedite the decision-making process. Improvements are also automated over time as it learns from user actions and is capable of making data-driven predictions. On top of that, the tool ensures enterprise-grade security in HIPAA, GDPR, SOC II, and ISO 27001, among others.
Detailed GoodData Review
Birst is a solution that utilizes data analytics in a network that connects your insights for making smarter business decisions. These networked analytics solutions combine the speed, agility, and usability of consumer-grade desktop tools with the needs of IT specialists for data governance and scalability. It has a multi-tenant cloud architecture that enables the expansion of data analytics across departments, product lines, and regions.
Its specialty lies in its 2-tier approach for end-user data visualization, querying, and production-oriented business intelligence. You can extract data and maximize connectivity options in various databases and cloud or on-premise applications. Developers can build their connections, or they may use its numerous integrations with third-party systems.
Detailed Birst Review
IBM Analytics is a data analytics tool specializing in evidence-based insights to support crucial decision-making for your business. It simplifies how you collect, organizes and analyze your data to allow an optimized procurement, management, and scale. You even get freedom on how you collect all types of data from various data sources.
The tool also lets you build a secure foundation for your analytics and organize your data in a business-aligned, single source of truth. Furthermore, it enables you to scale your insights by incorporating evidence-based insights into your decisions that were previously unobtainable. This can help you analyze data more smartly.
Detailed IBM Business Analytics Review
IBM Cognos is the solution to consider when you’re looking to make business decisions quickly with the use of smart self-service capabilities. This tool provides IT with a solution to deploy in the cloud or on-premise according to the architecture they require. Additionally, it caters to business users who want to create and configure dashboards and reports on their own.
One of its top features is its self-service functionality that enables users to interact and access reports on mobile devices, both online and offline. When it comes to analytics, the tool also offers a wide selection of analysis methods ranging from trend analysis, analytical reporting, trend analysis, and what-if analysis.
Detailed IBM Cognos Review
IBM Watson is an analytics platform that streamlines leveraging interactions, predicting disruptions, and accelerating research through the use of artificial intelligence. This advanced data analysis and visualization solution lives in the cloud and provides a reliable guide to users over the discovery and analysis of their data.
Independently unravel patterns and meaning in your data through guided data discovery and automated predictive analytics. Even without the help of a professional data analyst, you can interact with data and gather answers that you can understand using the tool’s cognitive capabilities like natural language dialogue. This means any business user can immediately determine a trend and visualize the data report in the dashboard for an effective presentation.
Detailed IBM Watson Review
MATLAB is a data analytics platform commonly used by engineering, and IT teams to support their big data analytics processes. It enables you to access data from various sources and formats such as IoT devices, OPC servers, File I/O, databases, data warehouses, and distributed file systems (Hadoop) in a single, integrated environment.
Before the development of predictive models, the system empowers you to preprocess and prepare your data by automating tasks ranging from cleaning data, handling missing data, and removing noise from sensor data. You can then directly forecast and predict outcomes by building predictive models and prototypes. Furthermore, the system lets you integrate the tool with production IT environments even without recoding or building a custom infrastructure.
Detailed MATLAB Review
Google Analytics is one of the most popular and widely-used data analytics tools to summarize data on high-level dashboards and function with a variety of funnel visualization techniques. At its core, it is a web analytics service that is used for tracking and reporting about website traffic. The freemium product provides an analysis of poorly performing pages using various data-driven techniques.
Furthermore, this tool provides you with data that you can transform into actionable insights for businesses of all sizes to garner a stronger result across their websites, applications, and offline channels. Specializing in one of the most important aspects of data analysis, this tool is essential for building a tight data analysis framework for your organization.
Detailed Google Analytics Review
If you are looking for an open-source platform, Apache Hadoop is a good place to start for distributed storage and processing of large datasets. In addition, it offers services for data access, governance, security, and operations. It is a collection of utilities that facilitates a network of multiple computers and data sets on computer clusters built from commodity hardware to solve problems.
This solution is fundamentally resilient to support large computing clusters. Failure of individual nodes in the cluster is rarely an issue, and if it does, the system automatically re-replicates the data and redirects the remaining ones in the cluster. It is a highly scalable platform that stores, handles, and analyzes data at a petabyte scale.
Detailed Apache Hadoop Review
Apache Spark is a developer-friendly big data analytics platform that supports large SQL, stream processing, and batch processing. Like Apache Hadoop, it is an open-source platform in data processing that supports a unified analytics engine for machine learning and big data.
To maximize this solution, you can run it on Hadoop to create applications that will leverage its power, derive deeper insights, and improve data science workloads in a single and shared database.
Consistent levels of response and service are expected with its Hadoop YARN-based architecture which makes the tool one of the data access engines that work in YARN in HDP. This means the solution, along with other applications, can share a common dataset and cluster with ease.
Detailed Apache Spark Review
SAP Business Intelligence Platform is a data analytics tool for monitoring key metrics and gaining valuable insight into customer behavior while eliminating the guesswork in the process. At its core, it serves as a BI solution for delivering actionable information at your reach. It is available both in the cloud or on-premise to suit your requirements.
The platform offers various tools, including SAP Analytics Cloud and SAP BusinessObjects BI Suite. They are used for solving specific business needs and leveraging decision-making. By supporting the collecting IQ of your business, this tool is reliable in providing a high standard for enterprise data analytics and BI.
Detailed SAP Business Intelligence Platform Review
Minitab provides smart data analysis for businesses to improve quality and drive efficiency in their performance. The flagship product, called Minitab Statistical Software, is used by companies to graph and analyze their data. Meanwhile, Minitab 18 is a solution that provides robust statistical software for all business users to find meaningful solutions to your tough business problems.
Through these tools, you don’t need to be a statistics expert to understand and gain insights from your data since Minitab’s Assistance will guide you along the way. Its other modules include Quality Trainer for learning how to analyze data and companion for centralizing the tools you need in reporting and analysis such as process mapping, brainstorming tools, and quality function deployment.
Detailed Minitab Review
Stata is a data analytics and statistics software for obtaining, exploring, and manipulating data. It enables you to visualize, model, and curate results in reproducible reports. What’s more, the platform is developed by researchers for researchers to effectively support the needs of their fellow professional software developers. It is a complete and integrated software package for all tools needed in data management, analysis, and graphics.
The tool is known for being fast, easy, and secure. It has an intuitive command syntax and a point-and-click interface that streamlines how analyses are reproduced and documented for review and publication. Regardless of when they are written, version control ensures the analyses scripts are accurate and up-to-date to show the same results.
Detailed Stata Review
Visitor Analytics is a simple-to-use analytics platform that allows users to quickly see and retrieve insightful information about their visitor’s experience. This user-friendly data analytics software displays comprehensive metrics and charts for easy identification of website issues, incoming generating factors, website visitor paths, and other information that can prove valuable to improve your business.
With Visitor Analytics, you have access to detailed dashboards that have all the key information you need at a glance. Basically, the software provides you with all the key data you need on a silver platter. You can also view all information on your mobile devices, which means you can whip out your phone to check on traffic stats, page performance, conversion rates, and other metrics.
Detailed Visitor Analytics Review
The process of analyzing big data to improve your business operations doesn’t stop at purchasing data analytics software. If you want to achieve your goals, you should also put some elbow grease into learning the ins and outs of your new data analytics system. Moreover, it is pertinent that you have a clearcut idea of how to use it to your advantage. To help you, we have listed some ways on how to maximize this type of technology. Alternatively, you can also check out our guide to big data analytics to get started.
Even before purchasing your data analytics program, try to list down what you plan to use it for. That is to say, you need to understand what aspects of your operations will benefit from using data, specify the type of insights you would want the platform to provide, and determine what you want to measure. By doing so, you will be able to specify your KPIs and other metrics as well as establish a good framework as to how you can use your new investment.
Most analytics platforms have the capability to source data from multiple internal and external systems for a more convenient data collection and synchronization process. However, this doesn’t mean you should simply integrate your platform with all your existing business systems and call it a day. Be selective about where you source your data, choosing only those that will help you move your data analysis efforts forward. This way, you not only generate more targeted reports but also prevent your database from being cluttered with information that you won’t even use.
You wouldn’t use outdated information to perform analysis, so why should you utilize outdated data models? To prevent old data models from having a negative effect on your data analytics efforts, you need to make it a point to assess these models now and then. Check if you are ignoring certain data sources or if you have overlooked how certain fields could affect your model. Perhaps, certain data sources are containing poor naming standards that are affecting your data analytics model. By taking this extra step, you can ensure that you are generating accurate reports that can drive your business forward.
By taking advantage of these tips as you implement your data analytics software, you are only a few steps away from reaping all the benefits that this technology has to offer. Hopefully, our list of 20 best data analytics tools was able to guide you in finding the right platform for your operations.
To sum it up, we highly recommend choosing Sisense. This is because it offers a code-free self-service analytics system that is great for both tech-averse and tech-savvy users. Furthermore, it offers highly customizable dashboards, allowing it to easily adapt to your business’ data analytics and visualization needs.
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