A lot of the blog posts and articles that we share with the community here at GAP are in the data and analytics space.
With so many products, tools and services out there, it can be hard to identify the top analytics tools that can help your business. Such tools can give your business the competitive edge it needs and surface actionable data that lets you make more informed decisions.
In this blog post, we make the task of identifying top data analytics tools for your business easier by covering 7 top data analytics tools that can help your business.
First up is Tableau. Tableau has been around for many years. In this time, it has established itself as one of the main players in the data and analytics space. The company offers 4 versions of their product called Tableau Desktop, Tableau Online, Tableau Prep and Tableau Server.
Each product can accommodate most types of user. Whether you’re a data scientist, developer or non-technical user, Tableau can help you get a handle on your data.
For example, using Tableau Desktop you can use an intuitive drag and drop interface to quickly create rich colorful dashboards with minimal technical involvement.
Whether your data lives in the cloud, a local database or local files system, Tableau can connect to these data sources easily. It can help you identify trends in your data that might otherwise be hard to spot thereby helping to make data-driven decisions and taking out some of the guesswork for you.
Find out more about Tableau here.With so many products, tools and services out there, it can be hard to identify the top analytics tools that can help your business. Click To Tweet
IBM Watson Analytics
IBM’s Watson Analytics features a suite of products and services that can help you discover insights in your data. Just like Tableau, Watson Analytics can surface new patterns or trends. One special feature that Watson has, however, is that it gives you the option of interacting with your data in a conversational manner to get the answers to your need.
Using Watson’s guided data discovery, Watsons AI and natural language processing capabilities (NLP), you can “talk” to Watson and it will translate your utterance into a reporting language that the machine can understand.
One unique pillar of Watson Analytics is its Analytics for Social Media platform. For example, by using a proprietary algorithm, the platform helps you identify the most relevant social media influencers that you should target or engage. The platform automatically ingests multiple attributes and data points such as how often an influencer posts and how often the community engages with them to help arrive at such decisions.
You can find out more about IBM Watson Analytics here.
Qlik turns analytics on its head. Rather than using a query based approach when it comes to data analysis, Qliks have engineered what they have called an Associative Engine. This engine works in a different way from traditional SQL based analytics tools where data is often brought together in queries using SQL joins and data is filtered prior to it being returned to users. If you want to pivot your analysis based on a new insight, it can often mean the query must be rebuilt.
The Qlik Associative Engine is designed from an exploratory, free-form and more interactive perspective. It lets you combine multiple data sources, then indexes them all to find any potential associations (without leaving any data behind). In this way, it is simple to click on your data sources to expose related and unrelated values.
You can find out more about click here.
With over 50,000,000 visitors to the site every month, Stack Overflow is a common destination for the developers out there. One thing is for sure, Stack Overflow has a lot of data to get a handle on. Using Looker, Stack Overflow can apply analytics, data science and machine learning to their datasets while improving collaboration and helping to derive a single source of truth.
With Looker, you can connect to any relational database at which point it will generate its own model from your existing schema. You can then refine this model to then reflect your company’s internal metrics and business rules. Looker also lets you build dashboards and reports that can then be shared with your team.
You can find out more about Looker here.
With some 40 years of experience and commanding up to 33% of the analytics market, SAS is one of the more mature solutions out there. The company offers too many solutions to mention in this single blog post, but their suite of products and solutions can be applied to use cases or industries that include, but are not limited to:
- Advanced analytics
- Cloud analytics
- Risk management
- Fraud and security
- Artificial intelligence
- …and much more!
In terms of analytics, using SAS you can mine data, perform forecasting and even apply text analytics or perform sentiment analysis. Given that Gartner positioned SAS as a leader in Data Science in the Magic Quadrant, one thing is for sure, regardless of your use case, SAS has you covered!
You can find more in-depth information regarding SAS here.
Microsoft Power BI
Microsoft Power BI is a cloud-based analytics service that allows you to analyze your data to help you get a better understanding of it. Power BI ships with many Content Packs that are effectively prebuilt report templates written by providers such as Google Analytics and MailChimp. These serve to give you a 360-degree view of your data as you need it.
With Power BI, you can even configure alerts to get sent to your mobile device when data changes thereby keeping you notified on the move!
You can find out more about Microsoft Power BI here.
Like SAS, SAP has been in the analytics space for quite some time. The firm feature is a rich set of analytics tools and products in their portfolio. From digital care to finance or even IoT, SAP products can connect to any data source you need and like most of the others, it allows you to create rich dashboards and visualizations.
What really sets SAP apart is the sheer size of its product portfolio and modules, there are simply too many to mention! Some of these modules include, but are not limited to:
Brand Impact Analytics – to help you measure and understand the value and ROI of your marketing efforts
Business Partner Screening – to help you analyze potential business partners and screen them against known government lists or ensuring they adhere to compliance and regulations
Real Estate Management – lets you analyze and optimize real estate assets and gain data insights to further improve planning and performance
You can find out more about SAP and its modules here.
Data analysis tools can give your business the competitive edge it needs and surface actionable data that lets you make more informed decisions. Click To Tweet
In this blog post, we’ve looked at seven data analytics tools that can help your business. Tools like this make working with your data more manageable. Why not give one of them a try? Who knows, one of these tools might help you find some hidden insight or commercial opportunity in your data that you never knew about!
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