10 Best Data Analysis Software for startups and SMEs

When it comes to data analytics tools, we always have questions. What is the difference between so many data analysis tools? Which is better? This blog is the answer to all such questions. Keep reading to know more.

All the entrepreneurs make essential decisions every minute, and every such decision must be backed by data to minimize the chances of failure. This is where data analysis steps in.

Data analysis and data collection are the core components to decision making in the 21st century. It does not matter if you are offering a small product, a SaaS, or running a website. Businesses need to learn what motivates their customers to buy their products, and this is only possible if they analyze their data properly.

As per the latest software development stats, around 64% of businesses stated that using data and analytics improved their efficiency and desired productivity has been achieved.

So, here is a carefully selected list of 10 best data analytics software for startups and SMEs. And if you are a bigger business, then you can even get your personalized data analysis software made for a better experience. You just need to hire software developers who are expert in making such software.

Top data analysis software for startups and SMEs.

1. Google Analytics:

Google Analytics is a tool that lets you measure, analyze, and optimize user acquisition and engagement with your website. You can even track this for your mobile application. This tool is perfect to understand the customer journey on your website or app.

Reasons to love it:

• It lets you understand the number of users, their characteristics, and where they come from.
• You can measure what actions users are taking on your app or website.
• This tool allows you to measure in-app payments and revenue (a boon for eCommerce stores).
• You can customize reports specific to your business.
• It lets you leverage Google Analytics data in other Google products
• Google Analytics enables you to understand different user groups’ behavior by slicing and dicing the data.

You should use Google Analytics data with other Google tools like webmaster tools and Adwords to create better-targeted ads and more targeted ad campaigns.

2. Microsoft BI

Microsoft business intelligence is an umbrella term used for tools and services that facilitate data ingestion, data storage, data integration, data quality management, and data analysis and reporting.

Reasons to love it:

• The data storage done is in 3 ways – cloud, on-premises, and hybrid.
• The data integration capabilities are vast.
• The traditional and big data analytics is empowered by advanced analytics and AI capabilities.
• It provides streaming and batch analytics.
• It gives you ad-hoc reports.
• It comes up with high-security controls.
• This tool has data visualization and management capabilities.

Microsoft Business Intelligence facilitates robust data analytics and insightful reporting to streamline your decision-making.

3. Kissmetrics:

Kissmetrics software is a great data analytics tool used by startups. It lets you understand your customers better than any other analytics tool and helps you track, analyze, and optimize your digital marketing performance with the help of behavior analytics tools.

Reasons to love it:

• It provides you details about where people drop off in your funnel.
• It analyzes which channels bring the most revenue.
• This tool keeps track of how segment behavior changes over time.

The Kissmetrics tool monitors every user’s activity on your website and creates his user profile. This means when he signed up, which features he used, which campaign attracts him, and how much money he is spending, etc.

4. Hubspot:

Hubspot offers data analysis software that can measure the performance of the marketing campaigns. This tool is an all in one inbound marketing software for your team with functionalities for blogging, landing pages, email, marketing automation, lead management, and analytics.

Reasons to love it:

• This tool allows you to keep track of loyal customers as well as anonymous visitors. You will be able to track the complete customer lifecycle with Hubspot.
• It lets you break down any report by the contact or company-level properties in your database.
• Hubspot has the functionality to let you create events for tracking actions taken on the website, helping you understand the customers’ behavior and trigger automation workflows.

The Hubspot data analysis tool gives users a detailed report for their marketing assets such as websites, landing pages, emails, blog posts, etc. The platform gives all the data required to make smarter, data-driven decisions.

5. Crazy Egg:

The crazy egg is one of the most sought-after analytics tools for recording users’ behavior on the website. This tool provides visual reports and individual session recordings to help businesses understand their users better- where they come from, where they are navigating to, and where they are getting stuck.

Reasons to love it:

• The visual report comes in the form of heatmaps and confetti reports. These reports assist you to see what is hot on your website and what is not.
• This tool provides you with an A/B split testing option to get the best result.
• There is an inbuilt editing tool that lets you change or modify content on your website without a developer’s need.

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The Tableau Public data analysis tool helps you create charts, graphs, applications, dashboards, and maps. It allows businesses to share and publish all their creations. It works on both Windows and Mac operating systems.

Tableau Public tool provides solutions for desktop & server and has an online solution too. This software allows you to collect data from anywhere. The TableauPublic data analysis software provides six tools, which include: Tableau Desktop, Tableau Server, Tableau Online, Tableau Prep, Tableau Public, and Tableau Reader.

Reasons to love it:

• This tool provides automatic phone and tablet layouts.
• It lets you customize these layouts.
• With Tableau Public, you can create transparent filters, parameters, and highlighters.
• You can even see the preview of the dashboard zones.
• It lets you join datasets, based on location.
• With the help of Tableau Online, you can easily connect with Amazon Redshift, Google BigQuery, and Cloud Databases.
• Tableau Prep provides us with features like immediate results, which will allow you to select and edit the value.

Tableau Public gives many solutions with different features for each solution. The tool is easy to use and can be used by organizations of any size.

7. Appsflyer:

Appsflyer is one of the leading mobile attributions and analytics solutions. It lets you attribute every install and visit to the respective marketing campaign, which acted as the trigger. This tool has over 1500 integrated media partners, including WyWy and Shazam. With this lets, you easily track which campaign led to the app install and which successfully re-engaged your users.

Reasons to love it:

• This tool is also a Facebook Mobile Measurement Partner, Google Official Partner, and Twitter Official Partner.
• It provides you with unbiased attribution and mobile campaign analytics.
• This tool allows in-app user engagement tracking.
• It also includes lifetime value analysis, ROI, and retargeting attribution.

If you are a mobile app developer who needs analytics and attribution solutions for the advertisements and marketing campaigns, Appsflyer will suit you best.

8. RapidMiner:

RapidMiner is a data analytics software for data preparation, machine learning, deep learning, text mining, and predictive model deployment. The tool provides all data prep capabilities.

This software will help data scientists and analysts in improving their productivity through automated machine learning. The user will not have to write any code to do the data analysis with Rapidminer Radoop.

Reasons to love it:

• The RapidMiner software comes with built-in security controls.
• The Radoop feature helps in eliminating the need to write code.
• The tool has a visual workflow designer for Hadoop and Spark.
• Radoop enables users to use large datasets for training in Hadoop.
• It has centralized workflow management.
• This software provides support for Kerberos, Hadoop impersonation, and sentry/ranger.
• It groups the requests and then reuses Spark containers for smart optimization or processes.

So for using RapidMiner, no coding skills are required. It is an excellent tool for machine learning. Rapid miner provides us with five products for data analysis RapidMiner Studio, RapidMiner Auto Model, RapidMiner Turbo Prep, RapidMiner Server, and RapidMiner Radoop.

9. Hotjar:

Heatmaps, session recordings, conversion funnels, form analysis, feedback polls, feedback messages, surveys, and recruiting users for testing features; the Hotjar data analysis software provides you all in one solution for your website.

It also combines analytics with user feedback. And if you are looking for a visual analytics solution for your website, then Hotjar is all you need.

Reasons to love it:

• Records the entire user journey on your website and lets you see yourself which campaign is working and which is not.
• And if you are unable to decide the cause, it provides you with tools to ask users the same questions.
• Free 200 recordings too, which is excellent for a startup.

KNIME

KNIME data analysis software is an open-source tool that helps in creating data science apps and services. This tool enables us to build machine learning models.

For this, users can use advanced algorithms like deep learning, tree-based methods, and logistic regression. The KNIME software package includes the KNIME Analytics platform, KNIME server, KNIME Extensions, and KNIME Integrations.

Reasons to love it:

• You can create visual workflows by using the drag-and-drop facility provided by KNIME.
• No coding skill is required.
• This software allows you to blend the tools from different domains like scripting in R and Python, connectors to Apache Spark, and Machine Learning.
• It also guides building workflows.
• It performs multi-threaded data processing.
• Gives data visualizations using advanced charts.
• It lets you customize charts as per your requirements.
• The KNIME Server automates workflow execution and supports team-based collaboration.
• KNIME Integrations allow users to integrate with Big Data, Machine Learning, AI, and Scripting.

The KNIME software is easy to learn and is an open-source software giving us access to some excellent features and functionalities for free.

Conclusion

For a startup or SME, every decision counts and so it should not be baseless. Your decision must be strongly supported by data analysis. This is why we have done our part by helping you with some great data analysis software that you can use.

Do you have a bigger budget, and you expect a data analysis software to perform some more tasks? For this, you must get in touch with the top software development company in India and get your personalized data analysis software made today. Only an expert can help you come up with an expert solution.