Data is one of the inevitable assets of any company. It is said that the global data supply had reached 4.4 zettabytes in 2013! In this competitive world, no organization can progress without data, and without collecting it from the right sources.
95% of C-level executives have reported believing that data is an integral part of forming their business strategy, and they’re not wrong! However, data that cannot be converted into information is useless. We need to have the correct tools to measure data against the correct metrics and perceived results. And this is where data management comes in.
So, What is Data Management?
Data management is defined as the deployment of “architectures, policies, practices, and procedures” to regulate the lifecycle of data. Data management tools are necessary to mine huge amounts of data to ensure customer acquisition and competitive growth. They aggregate, sort, and analyze unorganized data to generate meaningful information and help in the prediction of future trends.
Data analysis is required to understand your target customers’ preferences so that you can ensure the growth of your organization. 89% of C-level executives are said to agree that inaccurate data is undermining their ability to provide an excellent customer experience to their consumers, which leads to a falling reputation of many companies in the market, among their target customers. There are several free and open-source analytical tools that your organization can deploy without having to spend any extra bucks. The best data management tools will enable you to gather useful and actionable quality insights within quick turnaround time.
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Now the question that arises is: which are the best data analytical tools for your business? We have sorted them according to the different data analysis stages. So without any further ado, let’s dive straight into the list:
ETL stage is described as that phase of data management during which data is collected from their respective sources and then sent to a data warehouse. Some of the best data management tools in the ETL stage are:
1. SAS Data Management
SAS Data Management, one of the most common and widely used tools, is a software that helps to securely sort, track, and convert unorganized data to transform it into reliable, actionable information. With this technology’s help, you can implement the required architecture essential for extracting and transforming data. Coupled with 300 in-built SQL-based transformations, SAS can insert, merge, and delete data from multiple sources and target platforms.
2. IBM Infosphere Information Server
The next data management tool in our list is the IBM Infosphere Information Server, which comprises all the products catering to data analysis. It is equipped with Massive Parallel Processing (MPP) abilities that allow it to scale huge amounts of data. This highly flexible tool can even process various data volumes. It helps companies to aggregate data and then to check its quality.
3. PowerCenter Informatica
PowerCenter Informatica is also a highly scalable, flexible, and premium plus easily accessible data analytics tool. Not only is it able to simultaneously manage a gamut of integrations on a single platform, but it also is popular for its capability to ease the complex process of data marts and data warehouses.
4. Pentaho Business Analytics
Pentaho is recognized and opted for by many businesses because it can execute data analytics seamlessly in a single platform. This open-source software removes almost all issues pertaining to data integration. It is easily accessible and is easy to use. The platform can be integrated anywhere to handle many diverse big data projects. Pentaho is a constantly evolving software that adjusts effortlessly with a continually changing market.
5. Skytree Server
An AI-equipped machine learning program, Skytree Server, was created to replace SQL databases. It works on massive sets of unorganized data and then crunches it to generate knowledge in no time. The software consists of various learning algorithms that can be deployed in diverse industries, including sales, fraud detection, and astronomy. Skytree additionally has predictive analysis, which can be used to forecast future trends.
6. Stitch data
Stitchdata is an open-source platform that provides for rapidly moving data through the cloud. Stitch lets users use its extensibility features to enable support for every data source that the team requires. Stitch offers transparency, analytical capabilities, and adequate data infrastructure to work efficiently.
Caitlin Moorman, the Insights and Analytics Lead, says, “With Stitch, we spend more time surfacing valuable insights and less time managing the data pipeline.”
Fivetran is a sophisticated data pipeline application that helps you effortlessly replicate your business data into your chosen cloud warehouse. It offers complete replication of data, no coding or maintenance requirements, and no standardized schemas. It has automated data connectors and integrated transformations that are powered by modern and scalable computing infrastructure.
Data Visualization Stage
Data Visualization Stage, as the name suggests, places the crunched data in a visual, graphical format for easier and accurate interpretation. Some tools used in this stage are as follows:
Tableau enables organizations to get a clear, comprehensive understanding of the crunched data in a graphical format. It helps businesses to create interactive and dynamic dashboards – that too within a very short time span. It also skims out unnecessary data and saves the user valuable time and resources.
One of the most popular data visualizations used by several leading brands, Highcharts, creates different types of charts like spline, areaspline, bar, pie, column, and scatter chart. You can even use it with devices that are not compatible with Flash. Highcharts can also be customized as per the needs of the business.
4. Microsoft Power BI
Microsoft’s Power BI is best known for simplifying the whole process of data preparation. It can easily execute custom analytics and create striking, premium, and actionable graphs and dashboards. It is equipped with features such as Power Query, DAX, Merge, and Power View – and is available in two versions: the on-premise edition and the cloud version.
Rounding up this list is QlikView, which is an internationally recognized data management tool. It offers a clutter-free interface, which has data visualization technology alongside BI and analytics. You can integrate it with Compatriot and Qliksense and upgrade it to increase the final charts’ looks and usability.
Chartio allows you to bring all your data together and connect your business data from the top sources in the industry. Chartio’s revolutionary Visual SQL solution makes browsing your data a piece of cake. Chartio can also act as your strategic partner as it offers extensive documentation features and experienced Data Advisors who are committed to helping users get the most out of their data.
“Chartio has dramatically improved our process of managing our sales pipeline. Before Chartio, we were spending five hours a week managing the pipeline process. Now it takes us less than an hour”, says Kain Warwick, the Co-Founder, and CEO of Blueshyft.
Metabase is one of the fastest ways to share and easily summarize your data without ever writing a line of code. Metabase helps you browse or search through your data tables and then apply filters to get what you need, every single time. It offers features like Pulses, dashboards, and open-source ways for everyone in your company to ask questions and learn from data.
“Having Metabase lets us launch features in record time. As fast as we can get credentials to the database, debugging and tracking can be done in literally less than 5 minutes”, says Crystal Widjaja, SVP Intelligence – Go – Jek.
8. Mode analytics
Mode lets you share reports via URL, email, and Slack. It is a platform specifically designed to create interactive visualizations on millions of rows of data. It also features customizable reporting, calculated fields, web/API and a shared cloud SQL editor.
“Marketers, product teams, and executives are also discovering new opportunities and asking new questions. Sometimes you don’t know what you’re looking for until you see it.”, says Andrew Zirm, Senior Data Scientist at Greenhouse
So, which data management tool will you use for your business? Or are you already using any? If yes, are you getting the desired results? Feel free to let us know in the comments below!