July 24th, 2020 | Updated on April 13th, 2021
Companies that are just making their decisions on hindsight are failing whilst those who check the data before deciding are finding success.
Data is thus very crucial in order to make your business successful. However, just plain data is worthless and you need to use data analysis tools to figure out its efficacy.
A data analyst takes the data, takes up what is important, and then plans a strategic campaign basis that.
Depending on the needs and goals you have and the type of data analysis you require you must see various options before deciding which tool to use.
1. Tableau Public
Tableau Public is a free software that connects any data source be it corporate Data Warehouse, Microsoft Excel or web-based data, and creates data visualizations, maps, dashboards etc. with real-time updates presenting on web. They can also be shared through social media or with the client.
Tableau is being used to make sense of the plethora of data to CxO team and bank-clients. It is used across the organization. It solves the problem of generating insights and aids in making a quick decision. Internally, it helps discover data patterns such as customer purchase behavior, sales trends, or production bottlenecks.
2. TARGIT Decision Suite
TARGIT Decision Suite is a business intelligence and analytics solution that offers visual data discovery tools, self-service business analytics, reporting and dashboards in a single, integrated solution. TARGIT combines the control of a centralized BI solution with the flexibility of a decentralized solution. It’s self-service capabilities enable business users to create their own reports and analyses, eliminating IT bottlenecks.
When I show Targit to users, they’re wowed instantly by its usefulness. The ability to click on an element of one object to dynamically filter other objects on a page allows me to build tremendously useful reports that I could not do with any of the other applications that we evaluated.
Yellowfin, a business intelligence platform, is a single integrated solution developed for companies across varying industries and scaling sizes. This system is customizable to suit businesses in accounting, advertising, agriculture, banking, insurance, manufacturing, media, marketing, food and beverage, engineering, retail, technology and several other fields.
“They have bent over backwards to help me get the best plan for our customer base. And most importantly, our customers using our Yellowfin integration have been very happy with the report output.”
4. Dundas BI Software
Dundas BI, from Dundas Data Visualization, is a browser-based business intelligence and data visualization platformthat includes integrated dashboards, reporting tools, and data analytics. It provides end users the ability to create interactive, customizable dashboards, build their own reports, run ad-hoc queries and analyze and drill-down into their data and performance metrics.
We needed a self-service BI solution that would cover manufacturing operations dashboards and use cases. We wanted a tool that would allow for the distribution of centralized common dashboards but also allow for self-service customization. It needed to connect to multiple disparate data sources, and provide native ETL. It also needed to allow for real-time refresh capability.
SAS Customer Intelligence is a cloud-based and on-premise integrated customer relationship management (CRM) and marketing management suite that caters to midsize businesses across various industry verticals. The solution combines multichannel campaign management, marketing resource management and marketing performance management along with data management and a range of analytics capabilities.
The ability to connect with all third parties (that we use) and merge their data together in one system then analyze the structured information in a consistent and reliable way makes SAS Business Intelligence a very powerful system.
6. Apache Spark
Apache Spark achieves high performance for both batch and streaming data, using a state-of-the-art DAG scheduler, a query optimizer, and a physical execution engine.You can run Spark using its standalone cluster mode, on EC2, on Hadoop YARN, on Mesos, or on Kubernetes. Access data in HDFS, Alluxio, Apache Cassandra, Apache HBase, Apache Hive, and hundreds of other data sources.
Used as the in memory data engine for big data analytics, streaming data and SQL workloads. Also, in the process of trying it out for certain machine learning algorithms. It basically processes data for analytical needs of the business and is a great tool to co-exist with the hadoop file systems.
Databox is a cloud-based business analytics platform for marketers, CEOs, analysts and decision makers that provides a single interface to view various key performance indicators (KPIs) and generate reports. It is suitable for small to large businesses and offers mobile apps for iOS and Android devices.
The ability to access real time data concerning an individual employee in relation to departmental output. Am able to determine weak points in production.
RapidMiner is a cloud-based and on-premise data science solution, which helps small to large organizations access, load and analyze structured and unstructured data. Key features include process automation, model validation, data connection, and blending.
Overall my experience with using RapidMiner was great. It allowed me to rapidly try out different machine learning models and compare each result with one another. It also allowed me to conveniently address my workflow without having to write code. It is a great tool for students and people without a strong programming background. Its well documented functions and strong community addresses what ever questions I had with the processes.
Cloud-based platform that provides businesses of all sizes with tools to configure data science workflows using predictive analytics, database administration, data import/export, collaboration & more.
This is a good software which helps to solve statistical ptoblems,mathematical problems and also algorithm problems.so in Engineering there have lots of problems belongs to aforesaid kind of problems.so this can be useful for pre- Engineers.
The Splunk Enterprise platform allows users to process and index most forms of data in their native format. It includes data indexing tools, which enable users to locate specific data across large data sets. The software is designed to serve users with limited technical expertise. A key selling point is the platform’s scalability, which allows it to grow with the amount of data it is needed to process; up to at least 100 terabytes per day.
Splunk was initially purchased to be our replacement for our syslog server, but it has grown into much much more and this is because of how easy it is to get logs into Splunk and the flexibility of what can be done with those logs.
PieSync is a cloud-based data sync platform that automatically syncs data between applications including email, CRM, customer care platform and more. PieSync’s features include 360-degree customer view, 2-way sync, application integration, activity dashboard, workflow management and scale of growth. It eliminates back-office operations such as manual data entry or importing and exporting customer data between cloud apps.
The biggest advantage is the speed at which you can set up a sync and how many options you have. The customization ability is great, though limited in some areas.
12. Qlik Sense
Qlik Sense is a business intelligence (BI) and visual analytics platform that supports a range of analytic use cases. Built on Qlik’s unique Associative Engine, it supports a full range of users and use-cases across the life-cycle from data to insight – with self-service analytics, interactive dashboards, conversational analytics, custom and embedded analytics, mobile analytics, and reporting.
We’re using Qlik Sense to analyze sales and customer demographics data. It’s being used by the CEO and the marketing part of the organization. We operate in multiple countries, with several products in different currencies.
13. Mode Business
Mode Business is a cloud-based collaborative analytics platform that helps users manage and create fresh data, perform ad hoc analysis and review critical business segments with custom reports. Features of Mode Business include R analysis, built-in charts, unlimited and private space collaboration, collaborative report editing, external distribution, visual data exploration, single sign-on, schedule automation and webhook automation. Its analysis functionality helps manage test reports.
10/10 we couldn’t have run our business without it. All of our production reports and alerting happen through Mode and it hasn’t ever let us down. Mode works great with other tools in its space and fits nicely in to the modern data stack. Two thumbs way up from our team.
Infogram is a data visualization software developed for business strategists, media companies and marketers. This application allows organizations to build highly interactive visualizations with data-driven information. It offers a set of tools to create infographics, graphs and charts, which are accessible to all team members.
The manner in which Infogram is so resilient to any form of data one wants to imagine should be the industry standard that we struggle to make note of data accumulation at such a rapid rate. Its easy and easy drag and drop lets you process which diagram will match your needs. In fact, the pre-created models make the work even simpler. The sleek charts styles are indeed a dealbreaker.
Chartio is a cloud-based business intelligence solution that provides founders, business teams, data analysts and product teams in an organization tools to manage day-to-day business operations. Chartio’s tools provide users functionalities for data exploration, enabling them to represent this data in form of charts. It also provides a central dashboard that displays specific information to the users.
I love the drag-n-drop feature. I also love the variables you can apply to dashboards. I also really enjoy the auto-apply filters. For a while there we were waiting for dashboards to load constantly and it was taking forever. Whenever you would click on a new variable, then it would take forever after that to load because clicking on one new variable just makes everything rerun.