Data is ruling the business landscape. Today, data forms a crucial part of any business strategy because it has the power to drive your business growth 2 or 3 times faster than you ever could. Moreover, this data keeps multiplying by manifolds each day. Gone are the days of kilobytes and megabytes. This is an era of terabytes. However, this data is meaningless until you turn them into something valuable – something that can aid you in important business decisions. In other words, companies that use the best big data management and business analytics tools to predict and determine business-consumer behavior on a large scale benefit the most. These tools can help you reduce operating costs, offer better products and services, and analyze how your consumers are spending so that you can design an effective business strategy that drives growth.
If you are considering implementing a business intelligence tool, there are tons of different options available in the market. In this post, we have highlighted 10 great big data management and business analytics tools that can help you make strategic business decisions.
9 Popular Big Data Management And Business Analytics Tools
Tableau has been around since the early days of big data analytics and continues to grow with the industry. Firstly, it is extremely intuitive and offers comprehensive features. Secondly, it can handle any amount of data regardless of the size. Most importantly, it offers customizable dashboards where you can visually present real-time data with excellent features that support better exploration and analysis.
To add on, its settings are flexible and can blend multiple data points the way you want. Also, it has tons of smart features and works at lightning speed. Best of all, it is interactive and works on mobile devices as well. And you can share data through shared dashboards.
2. Zoho Analytics
Zoho Analytics is one of the best big data management and business analytics tools that can handle everything from analytics to sales. This platform offers a great mix of all its features at an affordable price. They offer integration with Google, offers valuable data analysis reports & gamification models, and provides tons of great marketing campaign tools.
Also, they have a big user interface with lots of great features. Their advanced analytics can run your data through sales funnels and other reports. In addition, you can manipulate your data and log it over long periods of time to track.
Splunk is another great tool that can handle small, midsized, and large business enterprise data as well as that data of public administration and nonprofit organizations. A single-user license works for 1,000 to 4,999 and it can be deployed on-premises, through mobile devices, or cloud!
This platform is adaptable, has great visual reporting and analysis features, and monitors real-time data. Not just that it automatically updates abnormal data patterns if any. Also, it allows you to customize your interface and shows the most commonly used tools right upfront at any time you need.
4. Apache Spark
Apache Spark is an open-source platform that has been around for nearly 6 years. This platform has a rich ecosystem of extensions and plugins, making it up to just about any enterprise analytics task, such as its MLib machine learning library. It also has a large community of users and vendors offering support and assistance. And its applications are adaptable to workforces of differing levels of IT skill and integrates easily with other Apache projects such as Hadoop.
5. Salesforce Einstein Analytics
Gartner’s analysts recently ranked Salesforce’s Einstein engine as having the strongest capabilities when it comes to automated analytics. Salesforce practically invented data-driven marketing, and its customer relationship management (CRM) tools have been industry-standard for years. Today, it is continuing to live up to its reputation as a leader of innovation, enabling a level of automation that competitors are struggling to match.
Talend is another very popular platform that has spiked its automation capabilities in line with current trends towards machine learning and smart computing. It carries out automated data quality and compliance operations in the background so that the users get faster access with better quality insights. Because it’s an open-source platform, there’s a strong community of users to learn from and work with. And it’s simple to find sample tools and templates for just about any job you might need to do.
7. SAS Visual Analytics
SAS Visual Analytics makes it easy to analyze and share powerful insights companies need into their data. It is fast, powerful, and scalable. And is capable of supporting a large number of users simultaneously. This platform is the best option if you are looking for something with an easy user interface and don’t mind paying for the convenience. Also, it offers great features for creating visual displays and representations of your data. Businesses can use them to show their analyses in different meetings and help different departments understand how it all ties together.
Not just that it offers data mining and statistical modeling that’s extremely useful. This makes data analysis even easier. In short, predictive models can help you with forecasting and estimating risks and rewards for your various marketing campaigns.
Apache’s Cassandra is another great tool to use. And it’s free! The open-sourced software can manage massive volumes of data. Thanks to the NoSQL DBMS. This platform can even handle data that has been distributed across a variety of different commodity servers. It has its own CQL (Cassandra Structure Language) to interact with its database. It has some great set of features that include simple ring architecture, automated replication, and easy log-structured storage. To add on, it has a rapid response time and doesn’t take too many system resources, and most importantly, it’s easy to scale in a linear fashion.
Lumify is a free and open-source tool for big data fusion/integration, analytics, and visualization. It is scalable, secure, and supports a cloud-based environment. It also works well with Amazon’s AWS. The primary features of this platform include:
- Full-text search
- 2D and 3D graph visualizations
- Automatic layouts
- Link analysis between graph entities
- Integration with mapping systems
- Geospatial analysis
- Multimedia analysis
- Real-time collaboration through a set of projects or workspaces
There are many great big data management and business analytics tools out there. Some of the tools mentioned in this post were open-source tools while the others were paid tools. The key lies in choosing the right big data tool that aligns with your business needs. You can always explore the trial version before you finalize the tool!