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40 min • 25 June, 2021
The data analytics software industry has taken the world by storm over the last few years, especially in the world of business. In the past, you’d run a business by trying to figure out what your best target market was, what products you need to sell and how you needed to sell them. These days, you’ve got data that can tell you precisely what you need to do to get the best results.
But of course, we’re only human. Trying to analyse and make decisions from all the data we have access to is nearly impossible, which is why you need software to help organise, analyse, and give insight into your data and what opportunities you have in front of you.
With that in mind, today we’re going to share the ultimate guide to data analysis software, detailing what it is, what solutions exist, as well as sharing some tricks and tips on how to choose the software application that’s right for you and your business. Then we’ll share all the software applications you need to know about. All 35 of them!
We wrote this guide with non-technical users in mind, and power users alike. Analytics software tools can confuse even some analytics vendors, so don't be shy to be curious and inquisitive. After all, we are living the data revolution, and tools are changing, evolving and improving at mind blowing speed.
Put the kettle on, get your orange mocha frappuccino, strap in, and let's get into it!
Just to make sure we are on the same page, let’s explore what actually goes into data analysis software.
The phrase “Data Analytics” refers to a set of approaches for extracting relevant and valuable information from large and diverse quantities of data obtained from many sources and of various sizes.
This is data that can come from anywhere on the internet. Consider the following sources and which of these are relevant to your business:
This information is examined and integrated into a larger framework to improve business operations and make them more efficient. Basically, these are all sources of data that you can look at individually or linked with other data forms. If you can find patterns or insight within this data, you’ll identify opportunities to take your business in a new direction.
Data analysis software gives you the tools to help find these patterns and thus identify these opportunities. However, there are plenty of types of software that can fall under this term.
More commonly referred to as ‘BI Tools’, software that falls under this term will provide you with features to help take large quantities of data from various sources and compiles it all into one central place. It’s here that the data can be analysed and organised, turning it into structured data that can be turned into a straightforward visual representation.
It’s these visualisations (that usually come in the form of dashboards) that you can then look at for the accessible insights that will help you make critical decisions. These tools can help you see where your business is and how to get it to where you want it to be. You can do these using specialist software or even following online guides that teach you how to create a marketing dashboard with Google Analytics or whichever your preferred analytics platform is.
Technically speaking, you could even run an effective data analysis campaign by learning how to create dashboards in Excel and other such programs. It’s all about finding out what works for you and your business.
The purpose of statistical analysis software is to analyse, describe, summarise, and compare your data from your various sources. Certainly similar to BI Tools above, and most people will use these terms interchangeably, these tools can range from simple spreadsheets to robust analytics suites that use specialised software and algorithms to provide more in-depth knowledge and generate visual reports.
In essence, statistical analysis tools enable businesses to scrutinise data of any volume or complexity with the primary aim to discover underlying trends and patterns and enhance business processes.
A general-purpose programming language can be used to create a wide range of programmes. C, for instance, is an excellent example of a general-purpose language. On the other hand, restrictive, domain-specific languages could include languages MATLAB, markup languages like HTML, and so on.
These general-purpose programming languages are vital since they can help you design and build your own business intelligence tools to suit your business and your own requirements. A lot of the time, businesses will want to customise their tools to suit their missions and then to analyse and organise their data in a way that suits them.
In order to achieve this, general-purpose programming languages are needed to either adapt and create add-ons for existing software tools and platforms or to write custom programs from the ground up.
Also known as ‘Query Consoles’, these consoles are made up of SQL files to build and execute SQL statements. Consoles are linked to your data sources and allow you to input code that will have a specific effect or outcome.
In reality, a console is created every time you create a data source automatically. A console is simply a way to analyse your data by inputting set parameters. However, it’s worth noting that this is mainly what larger businesses do when they have the resources to create their own consoles and code their own platforms. Many modern-day AI solutions take care of the complicated side of things for you.
As the title suggests, where you can invest in or code your analyse applications and software, and you could piece together your own setup of tools that gets the data science jobs done, another solution is to opt for standalone predictive analytics tools that are basically an all-in-one solution.
These tools are typically self-contained and contain all the features you’ll need for your data science efforts, all integrated and connected to each other. If you’re looking for easy data science software tools for your data needs, such as when you’re just getting started, or you want a no-code application that doesn’t require a considerable learning curve to use, these are the tools you’ll want to be looking for.
A data model is the logical structure of a database, including its relationships and constraints.
The structure’s design determines how data is retrieved and stored. To make decisions, businesses require accurate and dependable data. Even a minor inaccuracy could cause data to become “unreliable” and unfit for decision-making. Counting on such information can, and potentially will, lead to losses.
This is where data modelling tools come into play.
A data modelling tool can produce a data model that can be used to store information in a database. These programmes can design a database using diagrams, allowing you to get the structure you need to minimise errors and keep your data clean and actionable.
As you can see, there are many options and solutions out there when it comes to data analytics softwares, and you may be left scratching your head when it comes to figuring out what you’re doing and where to begin. Fortunately, it can be easy to choose with the data science tools you’re working with and to help with your decisions, we’ve broken the process down into a list of considerations you need to be thinking about.
|The Software Developer||Take time to research the developer whose tools you’re using. Do they have a good reputation? Are they trusted to develop professional quality products? What do their reviews say? Do they offer support?|
|Open-Sourced or Closed?||Open-source software is excellent if you want to make your own adjustments and customise your software tailored to your needs using general-purpose programming languages. If not, a closed source solution will always be suitable.|
|Is the API Available?||Again, if you want to customise your application to suit your needs, you’ll need access to the API.|
|What’s the Price?||You simply can’t spend resources on an expensive solution if you can’t afford it in your budget. Always consider the price and whether it’s a worthwhile investment.|
|What kind of Data Quantities Can Be Handled?||You need to determine whether your preferred solution can handle large quantities of data or a cap limits you. How well will your business be able to scale with the solution you’ve chosen?|
|How Easy is the Software to Use?||If you’re a small business, the chances are you don’t have data scientists within your team, which means you're going to need software that everyone can understand and use with minimal training.|
|How Visual is your Application?||There’s no point in analysing your data if you cannot get any insight or results from it. The best way to ensure this happens is by choosing software that provides visual, actionable actions to your queries.|
|Is the Software SQL Compatible?||If you have data sources online, you’ll need an application that is SQL compatible for this data to be accessed and connected with your analytics application.|
|How Fast is the Software?||You don’t want to wait around all day for the software to run and give you results. You want them quickly and easily, and so you need a fast application, but one that won’t destroy your memory capabilities.|
|Does the Software Manage Your Data?||A leading application will be capable of organising your data and keeping tabs on it, making sure it’s clean and error-free.|
|How Quickly is the Data Refreshed?||Are you easily able to keep the data your application has access to as up to date as possible? Will the application data go out of date and become irrelevant quickly? Can you, and do you need to, work in real-time?|
|How Does the Software Run?||Do you need to download and install any applications? Do you need to provide servers for the application to run? Does everything run in the cloud?|
|Is the Application Customer Compatible?||If your customers or clients will need access to your data or your results, is the software you choose able to provide this option?|
|Do You Need Specialised Software?||Some applications are designed with specific industries in mind, such as business web data, the healthcare sector, and so on. Do you need an industry-specific solution?|
|Compatibility?||What tools, software, servers, and data sources are you already working with, and will your preferred data analytics softwares choice work alongside them and integrate seamlessly?|
|How Upgradable is Your Application?||Does the developer provide frequent updates that keep the software running smoothly while delivering the best results?|
|Free Trial Available?||Before spending resources on a software product, is there a free trial available so you can try it out for yourself first to see if it’s a good fit?|
|How Scalable is the Application?||As your business grows, you’ll start gaining momentum with how much data you have and the direction you’re heading, so you’re going to need an analytics program that can keep up with the pace.|
|Do you Have any Personal Requirements?||Is there a particular feature or function you require? Does your preferred software provide it, or are you settling for less? Don’t forget to explore all your opportunities.|
While that can feel like a lot, the whole point of this section is to take some time to really explore what you need from your data analytics software and to think about what you need. The worst thing you can do is just settle for the first application you come across, spend a ton of time and money setting it up and getting started, and only then realising it’s not what you’re after.
The more strategic and informed you can be when choosing and working with data science applications, the better your outcome will be.
And with that, we come to the final section of our guide, and that’s actually exploring the data analytics software options you have. Since this is the ultimate guide, we’re exploring 35 of the top tools there are and giving you a little insight into each. Use this as your guide, so you know where to start your search and see what’s out there.
And who knows, perhaps the solution you’ve been looking for the entire time is right here in front of you.
Here is the full list of data analytics platforms:
Akkio is a no-code approach to data analytics products that make it easy to get started. Using AI and Machine Learning technology, all you need to do is input your data, connect up your accounts, press a button and let the software take care of the rest. The application prides itself on being a solution that can start visualising your data in as little as ten minutes, and there are scalable pricing plans, so you’re only playing for the data capabilities you need at the time.
Altair’s data analytics software is open, scalable, unified, and extendable, with integrated data transformation and predictive analytics tools.
Altair offers desktop-based data preparation, whereas the Knowledge Hub feature offers team-driven data prep and a centralised data marketplace to help with collaboration and governance. There are also a ton of machine learning and predictive analytics systems available to all users. In essence, it’s an all-in-one service that has tools to take care of everything from start to finish.
The company’s streaming processing and real-time visualisation capabilities are housed in Altair Panopticon, meaning you don’t need to set up anything on your end hardware-wise but instead have access to their state-of-the-art system.
Alteryx is one of the leading data preparation and business-based analytical software applications specialising in self-service data analytics products. In other words, it provides you with powerful analytical tools but in a simple format where it’s easy to do everything yourself.
The software provides tools and features for organising, cleaning, and analysing data, as well as services to help you connect to data warehouses, cloud applications, spreadsheets, and other sources effortlessly. You’ll then, of course, have all the visualisation tools you need to get the insights you’re after, all within one powerful interface.
AnswerRocket is a little bit of a unique solution that provides business analysis in a search engine-styled format. You’ll be able to use the latest data to identify trends in your business, and within the industry, so you’ll never miss an opportunity to succeed. This software enables you to spot trends as they appear and then take action, rather than waiting for it to potentially be too late.
With a straightforward, no-code approach, AnswerRocket is fast, powerful, and designed AI and machine learning that makes traditionally complex tasks easy.
BOARD is a platform that uses powerful business intelligence strategies, performance management tools, and predictive analytics to prove complex and advanced insights into your business, but in an easy-to-understand way.
These features come together to allow you to take control of your data, data models, security profiles, or business rules that are propagated to all applications quickly. All of the tools needed to construct and update databases, data displays, analysis, and process models are included in the solution.
What’s more, the BOARD Cloud service is simply a SaaS version of the platform backed by Microsoft Azure, meaning you get all the features that are associated with this application.
Datameer is another self-service, no-code approach to data analysis that makes gaining insights into your data easy. This means you’ll have access to all the typical visualisation and processing features you’d expect, all in a scalable format that grows with your business.
However, what sets Datameer apart from the rest is the fact that it allows for easy collaboration. It doesn’t matter where your team is located or where you are in the world, they can connect to the Datameer application and work alongside each other in real-time. You can also connect to all major data platforms, like Google Cloud, AWS, Azure, and more!
Domo claims to be one of the fastest data analysis BI platforms in the world, boasting of having features that allow for decent data integration features, real-time analytics of your data, a range of intelligent AI apps you can use to acquire certain insights. You also get the ability to embed those analytics and share the results with those who need them.
Utilised by a range of industry-leading companies like Cisco, eBay, and ESPN, this is certainly a professional option for those looking to go big.
Druid is an open-source data storage that allows users to query real-time and historical data in milliseconds typically used for OLAP (online analytical processing) queries on event data. Low latency (real-time) data ingestion, flexible data exploration, and quick data aggregation are all features of Druid that will help make your experience fluid.
At the time of writing, Druid’s workflows and deployments have already processed trillions of events and petabytes of data. Druid is most typically used to power analytic apps with a user interface. This is big-scale data analysis, and there’s far too much capability here than you’ll need as a small business, but there’s no denying its power.
Gyana is one of the best business intelligence applications out there and by far one of the most modern solutions. Whether you’re a big or small business, Gyana allows for a no-code, easy approach where you can literally connect your data sources and get up and running with actionable insights in as little as ten minutes.
What you’ll love about Gyana is it's so scalable, you’ll only ever pay for the services and capabilities you need for the size of your data. A platform that includes vast data manipulation tools, Gyana makes working on data analytics a simple and delightful task, no technical expertise needed.
If you’re looking for a clean and simple approach to business intelligence that spends more time getting results in a quick, easy, and AI-driven fashion, rather than fiddling around with the technical side of things, Gyana is undoubtedly the option for you.
Heap Analytics is an app that specialises in monitoring and analysing the interactions of your website and your customer’s experience while on your website or an online product that you have. With the capability to embed into your website and then track everything, you’ll have all the data you need when it comes to making your online product the best it can be.
With over 7,600 users under their belt as of 2021, this is a speedy, fast-moving application that provides quick insights that turn into successful actions. You can literally see everything, from what your customers are looking at to what pages they’re clicking on. It’s all automated and available in real-time, making this one of the actionable applications on the list!
Hitachi Vantara enables businesses to access and combine data of all types and sizes from all sources and is an excellent solution if you’re looking to complete a range of big data integration and data preparation.
This specific platform is designed specifically for integrating with and embedding in applications, portals, and processes and allows organisations to create powerful visualisations, reports, ad hoc analysis, and customised dashboards in their analytics.
Interestingly, the service also supports third-party charts, graphs, and visualisations using an open API, allowing for a greater range of embeddable statistics.
IBI, also known as the WebFOCUS, is a self-service analytics and data discovery application with a fantastic range of visual discovery features, predictive capabilities, and more. With millions of users worldwide, this tool offers far more beyond senior and analyst dashboards but also operationalises data and analytics for line-of-business users.
Information Builders provides a full suite of big data capabilities, ranging from data integration to advanced analytics and data management.
IBM has been a leader in the tech industry for decades, so it should come as no surprise that their addition to the business intelligence market is more than capable. In fact, they have two additions that come together to create the complete package.
The first is the Cognos Analytics****platform, a self-service tool that allows users to build dashboards and reports using data. The second is IBM Watson Analytics that provides a machine learning-enabled user experience with automated pattern detection, natural language query and generation support, and embedded advanced analytics capabilities.
IBM’s business intelligence software is available as an on-premises or cloud-hosted solution.
Infor Birst is a cloud-based analytics system that uses a network of interwoven virtualised BI servers to link a business. This may sound a little complicated, but that’s because the software is designed for advanced users and to provide them with the tools they need for a complete experience.
Some of the key features you’ll find here include an adaptive user experience, multi-tenant cloud architecture, a user data layer, and a fully virtualized data environment are all included in the tool.
These features make it possible to apply business intelligence across many geographies, product lines, departments, and customers. Whatever you need Infor Birst to do, it will have what you need to get it done.
Customers traditionally use the solution for BI provisioning, as well as decentralised analytics because it is cloud-based, so you’ll have access to all the benefits that come with that.
Check out reviews from InsightSquared, and you’ll see that there’s plenty of five-star reviews out there and for a good reason. InsightSquared is a business reporting and analytics package that allows you to track all elements of your company, including marketing, sales, customer service, finances, and staffing.
The sales analytics tools in the programme allow in-depth analysis of the sales funnel, including sales forecasting and trend detection. You can even use features like the employee achievements and successes system that can also be measured using sales analytics reports.
They can be used in conjunction with marketing analytics data to identify lead sources, track lead generation, and evaluate campaign outcomes. Financial reporting, customer service monitoring, and staffing analysis are all available through InsightSquared.
Knime is a data analytics platform established in Zurich and was first developed for use in the pharmaceutical industry as a data processing tool but is now used across many industries.
What sets Knime apart from the rest is the fact it’s a free and open-source data analytics solution, which means that anyone can use it and customise it to be however you want it to be, but there is a bit of a steep learning curve if you’re new to this kind of thing, and you’ll need to know how to code.
However, since many people are involved in its development, it is easy to use, although it’s suggested you opt for this system if you know what you’re doing or working at a corporate level. There are a ton of tools and data visualisation features available, and even business planning tools set right into the dashboard.
The Knime Analytics platform is available for free, but a Knime Server costs $29,000 per year for five users and needs to be hosted on AWS or Microsoft Azure platforms.
Logi Analytics is a cloud-based and on-premise embedded analytics platform for business intelligence and analytics that delivers interactive data visualisation capabilities. Users may quickly integrate dashboards, self-service on all data analysis and business intelligence tasks and generate reports into their applications using the platform.
You may also take your data to design customer-friendly solutions, which provides them with the necessary intelligence. Some of the other features you’ll be able to take advantage of includes things like; data blending, dashboards, association filtering, any data source connection, adaptive security, and more.
Windows, Linux, Mac, and Web-based platforms are all supported by the programme, and the service provides customer service via email, phone, and live chat.
Looker Data Sciences was founded in 2012 but is now owned by Google Cloud Platform. Nevertheless, this isn’t a Google service as it continues to operate as a standalone data analytics platform. Many of the features you’ll find here assist businesses in making business decisions by utilising advanced analytics in an easy way.
You can integrate data from any SQL database and make dynamic dashboards before sharing them with others in your organisation. All the dashboards made are user-friendly and attractive, and all workflows can be automated using the built-in features.
Looker also offers proprietary data modelling layers that make data available in real-time to anyone, and there’s even Slack integration for greater team collaboration. As you’d expect, Looker is also compatible with the Google Marketing Platform and Google Ads.
Microsoft Power BI is a powerful business intelligence tool that works with a wide range of data sources. Users can create and share reports, dashboards, and visualisations.
Users can create a Power BI app out of a collection of dashboards and reports for easy deployment. Power BI also interfaces with Azure Machine Learning and allows users to create automated machine learning models. Of course, this application is fully compatible with the rest of the Microsoft Office and application base, meaning it can be highly integrated for many businesses straight off the bat.
MicroStrategy is a BI and analytics platform that combines self-service data preparation and visual data discovery.
MicroStrategy delivers native drivers and gateways that link to any enterprise resource, such as databases, mobile device management (MDM) systems, enterprise directories, cloud apps, and physical access control systems.
You can also incorporate this software into elements like other web pages and applications, such as business portals, CRM tools, chatbots, and even voice assistants like Alexa, thanks to its embedded analytics tool.
The OpenText AI and Analytics software provide a comprehensive range of AI and analytics technologies to help your business solve data problems and highlight opportunities at your own pace.
It guarantees a smooth transition to AI technologies aimed at better decision-making, automation, and business optimisation. There are a ton of various tools available here, all highly connectable between each other, and helps make your entire BI experience as smooth as possible.
Oracle is a well-known company that needs no introduction, and you’ve probably heard of them being the developers of the huge framework known as Java. Their addition to the business intelligence software market comes in the form of the Oracle Data Cloud (ODC).
This is a set of data-as-a-service (DaaS) solutions that are primarily aimed at marketers and other business analytics professionals. Still, it will also capably serve large businesses and enterprises.
Because of this, the processed data and the resulting insights are great at helping you make sure your advertising is seen by the right audience of potential buyers. You can use such big data in the ODC’s data management platform to refine audience insights. You will need to contact Oracle directly for pricing plans.
Pyramid Analytics is a low-cost, easy to use, enterprise-grade operating system that seamlessly expands from a single user to an entire organisation. It runs on any operating system and can be used in the cloud or on-premise, meaning you’re able to use this software in any way that suits you.
It encourages data literacy by allowing users of various levels to access different features. It’s built to support a company’s decision-making process from self-service analytics through forecasting. There are a ton of machine learning capabilities built into this software that also makes it incredibly easy to gain advanced insights into your data in no time at all.
Qlik is a company that has been around for a long time and was actually founded back in the early 1990s, and since has been the talk of the town, even winning such awards as the Best Business Intelligence & Analytics Software in 2018.
What makes Qlik so unique is the fact that it’s a complete business intelligence solution that deals with everything from start to finish. There are endless tools to handle all aspects of the business intelligence process, including data analytics products, data integration, data warehouse automation, and many more.
As you would expect from a modern solution, the software also employs augmented intelligence, which mixes artificial intelligence with human intuition. Natural language processing can also be used to assist with commercial decision-making. Of course, all the dashboards are interactive and straightforward and can even be accessed through the dedicated mobile app.
There are two main pricing plans available that cost between $30 and $70 per month per user, payable annually.
RapidMiner is a data analytics software that takes care of everything a user needs regarding technology, from integration to data cleansing and transformation, before running predictive analytics and building statistical models.
Users handle nearly all of this using a simple graphical interface, making it ideal for businesses getting involved with data analysis for the first time. RapidMiner can also be enhanced with R and Python, as well as a variety of third-party plugins through the organisation’s marketplace.
For data discovery, analysis, and reporting, SAP BusinessObjects offers a set of data analytics capabilities. The tools are intended not only for inexperienced technical users but also for doing difficult analyses.
SAP also integrates Microsoft Office products, allowing Business Analysts to effortlessly go between applications such as Excel and BusinessObjects reports while maintaining productivity. Self-service predictive analytics is also possible.
SAS is still one of the most extensively utilised data analytics products in the business and offers flexible pricing systems while offering a powerful, adaptable, and simple-to-learn programme. There are a large number of new modules to explore and gain insights from, so it’s well worth checking out the software to see if there’s an application or set of tools that you and your business can benefit from.
Sigma Computing is an analytics platform that connects directly to cloud warehouses and provides real-time insights to help users make data-driven decisions. What users love about it is that it gives a familiar experience for business users and analysts to apply formulas to analyse and visualise their data with a spreadsheet-like interface.
Users can examine their data and ask and answer questions by themselves using a self-service setup, but it highly promotes collaboration and teamwork within your organisation. What’s more, the service is totally cloud-based, allowing data access without the risk of data extraction, movement, or storage, and is suitable for businesses of any size.
Founded in Tel Aviv, Israel, all the way back in 2004, Sisense is now a global company and is considered one of the biggest business intelligence platforms in the industry.
Everyone from data scientists to non-technical business users uses this data analytics tool since it provides many great features. These features include things like taking care of the backend work of analysing large amounts of unstructured data and cleaning it up into fantastic data visualisations on the front end you can easily use for comprehensive insights.
To make things easy, the platform is divided into three sections; cloud data teams, business analysts, and product teams. With Sisense’s data warehousing and data preparation features, you can make massive data easier to understand, and the dashboards with real-time data analysis are simple to create and share across teams.
Tableau, now owned by the Salesforce group, is a commercial software as a service (SaaS) package that has been around since 2013. Tableau is a massively popular data analytics software application that is used by businesses of all sizes for a variety of functions, but its main purpose or speciality is data visualisation.
Tableau is one of the easiest to use applications, and you can literally complete complex tasks by simply dragging and dropping on-screen entities. Furthermore, all the dashboards you create are interactive, making it incredibly easy to make your visualisations, no matter where your data sources are.
Big data, SQL, and even Excel spreadsheets can all be used to create data sets. Tableau can also perform predictive data analysis, allowing you to discover trends in real-time and the prescriptive data analysis can even reveal new ways to boost corporate efficiency.
There are several pricing packages available so the application can suit your budget, but the public version is free to use. Other Tableau packages start about $70 per month per user, payable annually.
If you’re a large business or enterprise, then it’s undoubtedly worth turning your attention to Talend. Talend was created in 2005 with the sole aim of becoming the greatest data integration solution for the cloud. Since its formation, Talend now has several cloud-based data integration and data mining technologies that are now at your disposal.
This software is powerful, capable of integrating data from over 900 sources, including industry leaders like Azure, Amazon Web Services, Salesforce, and Marketo. However, despite such powerful features, it’s very easy to set up and start using.
Talend can handle large, complicated relational databases and provide IoT analytics and big data processing, which can both be done with the integrated machine learning systems. Talend also provides a number of free add-ons.
If you’re a small business, Talend could be a little too much and unnecessary because of these high-end features. The Talend Cloud Data Integration platform costs $1,170 per month or $12,000 per year, but this depends on the number of users.
TARGIT provides a modern business intelligence and analytics platform with built-in data integration features that’s available on-premises, in the cloud, or as a hosted service.
Targit has been revamped recently with a new design experience, fully integrated reporting, highly intelligent interactive documents, and new mobile apps that have bought Targit into the modern age and are now incredibly ready for modern-day businesses. Highly rated, easy to use, and with a decent range of features, Targit is a nice option.
Tellius offers a search and data analytics platform using the Genius AI Engine proprietary software that helps you ask questions about your data. Tellius incorporates natural language processing to help users tell stories and make data visualisations as well. Perhaps the highlight feature is the personalised recommendations that can be given to anticipate and satisfy needs. Apache Spark is used to power Tellius.
Thoughtspot is a massive company founded back in 2021 and is now worth more than one billion dollars.
ThoughtSpot is designed for data analysts but is much better suited to less technically minded users, which is evident since the software is so easy to learn and use. What’s more, you don’t need to download and install anything as everything is handled from your browser and stored in the cloud.
ThoughtSpot employs advanced AI and machine learning techniques to make data insights easy to acquire, all of which can happen in real-time and easily sent via the collaboration channels when needed.
What’s more, SpotIQ is a module of ThoughtSpot that’s specially designed to make it run. This module is very useful when it comes to the discovery of anomalies, the identification of data linkages, and identifying patterns and segments data.
While there are many pricing plans, you’ll need to contact Thoughtspot for exact prices.
Yellowfin is an Australian data visualisation and business intelligence startup that uses the built-in Assisted Insights algorithm that uses machine learning to deliver simple answers and best-practice visualisations and narratives of business insights. You can incorporate interactive reports into third-party platforms, such as a web page, wiki, or workplace intranet, using Yellowfin’s pre-built dashboards.
The company also provides native mobile apps.
And that brings us to the end of our ultimate guide to data analytics softwares. Phew. Now, we know that’s a lot to take in, but that’s why you don’t need to rush in making your decision as to which application you want to use. Instead, start by defining what you need from your data analysis efforts and what you’re trying to achieve. Then work your way through the guide to find the one that works for you.
You’ll be amazed by how much success, purpose, and direction the proper data analysis software can bring into your business when you take the right approach, so get going and become your own proof!