Software Business Data Management

Wondering where to find software business data management and how to learn about data management software for small business? Sure! I was in your place just a few days ago when suddenly my boss sent me an email telling me to choose and start using (optimizing!) our brand new software that manages all of our client’s(and our co-worker’s) data. It took me a while to figure out what exactly do we need this software to do. However, after some Googling, I got it. And now, I can tell you all about the best data management software and how it will help your small business!

Are you looking for the best business data management software? Or perhaps, you’d rather use a database management software for small business? Whatever your data handling needs may be, you’ll find that these products are not just easy to install, but they’re also incredibly powerful and robust.

datapine

One of the best BI tools for data analysts: datapine

KEY FEATURES:

Visual drag-and-drop interface to build SQL queries automatically, with the option to switch to, advanced (manual) SQL mode

Powerful predictive analytics features, interactive charts and dashboards, and automated reporting

AI-powered alarms that are triggered as soon as an anomaly occurs or a goal is met

datapine is a popular business intelligence software, that is focused on delivering simple, yet powerful analysis features into the hands of beginners and advanced users that need a fast and reliable online data analysis solution for all analysis stages. An intuitive user interface will enable you to simply drag-and-drop your desired values into datapine’s Analyzer and create numerous charts and graphs that can be united into an interactive dashboard. If you’re an experienced analyst, you might want to consider the SQL mode where you can build your own queries or run existing codes or scripts. Another crucial feature is the predictive analytics forecast engine that can analyze data from multiple sources which can be previously integrated with their various data connectors. While there are numerous predictive tools out there, datapine provides simplicity and speed at its finest. By simply defining the input and output of the forecast based on specified data points and desired model quality, a complete chart will unfold together with predictions.

We should also mention robust artificial intelligence that is becoming an invaluable assistant in today’s analysis processes. Neural networks, pattern recognition, and threshold alerts will alarm you as soon as a business anomaly occurs or a previously set goal is met so you don’t have to manually analyze large volumes of data – the data analytics software does it for you. Access your data from any device with an internet connection, and share your findings easily and securely via dashboards or customized reports for anyone that needs quick answers to any type of business question.

R programming / R-Studio

popular statistical data analysis tool for data analysts: R-Studio

KEY FEATURES:

An ecosystem of more than 10 000 packages and extensions for distinct types of data analysis

Statistical analysis, modeling, and hypothesis testing (e.g. analysis of variance, t test, etc.)

Active and communicative community of researchers, statisticians, and scientists

R is one of the top data analyst tools that is usually referred to as a language designed by statisticians. It’s development dates back to 1995 and it’s one of the most used tools for statistical analysis and data science, keeping an open- source policy and running on a variety of platforms, including Windows and macOS. RStudio is by far the most popular integrated development environment. R’s capabilities for data cleaning, data reduction, and data analysis report output with R markdown, makes this tool an invaluable analytical assistant that covers both general and academic data analysis. It is compiled of an ecosystem of more than 10 000 packages and extensions that you can explore by categories, and perform any kind of statistical analysis such as regression, conjoint, factor cluster analysis, etc. Easy to understand for those that don’t have a high-level of programming skills, R can perform complex mathematical operations by using a single command. A number of graphical libraries such as ggplot and plotly make this language different than others in the statistical community since it has efficient capabilities to create quality visualizations.

R was mostly used in the academic area in the past, today it has applications across industries and large companies such as Google, Facebook, Twitter, and Airbnb, among others. Due to an enormous number of researchers, scientists, and statisticians using it, R has an extensive and active community where innovative technologies and ideas are presented and communicated regularly.

Adobe Audience Manager

Adobe Audience Manager is marketing-focused data management software that merges all of your siloed data sources to significantly improve your understanding of your audience. Find your most valuable or engaged audience segments and send them targeted ads that are more likely to convert. 

Audience Manager will work alongside your existing marketing stack, as well as Adobe’s other products. The DMP itself is part of the Adobe Experience Cloud, a suite of applications that helps businesses improve the customer experience. 

Adobe Audience Manager

Cloudera

Cloudera is an enterprise data cloud platform that delivers self-serve analytics across on-premises, hybrid cloud, and multi-cloud environments. Everything is managed from a single, unified control panel that users across your organization can access. 

Machine learning and custom application capabilities are built into the platform, which is completely open source to prevent vendor lock-in.

This is the perfect solution for enterprise users who need to share significant amounts of data with thousands of users while keeping everything secure. Financial institutions, telecommunications companies, and public sector organizations trust Cloudera to manage and analyze their data. 

Infinity

Infinity Data Management Software

The number one master data management software on our list is Infinity. There are several reasons why Infinity is the most complete solution on the market and the only data management software your business will ever need.

First, Infinity is much more than a mere data management system. It will hoard all the data you need alright, but it will also give you other management solutions. Infinity helps you plan your business goals, manages your projects and employees, and even has various templates you can use to customize the dashboard. 

Different views help you customize the display and find the best way to incorporate all big data management tools (and many more than that!), and with this software, you will never worry about storage again.

The biggest advantage Infinity has over its competition is the infinite structure, the asset that this fantastic data management software got its name from. This means that everything is kept in one place, which is especially beneficial to the marketers and analysts in your team, who can straightforwardly access big data and waste no time in collecting the pieces — everything is already there, which saves a ton of time. And every successful business owner knows that time is money!

We already mentioned that Infinity has different views that help you display all data in a manner you need at the particular moment. There are six of them: Table, List, Gantt, Calendar, Columns, and Form.

Gantt charts might be especially useful for displaying all the data in the form of charts, but other views are useful as well, from the organizational standpoint.

Infinity truly has an infinite number of options at your disposal. Use it wisely, and you will never have an urge to buy any other data management software!

Key Features

  • Multiple Views—Infinity allows maximum customization in every moment. Choose one of the six views available: Gantt, Calendar, Columns, Form, Table, and List.
  • Data Export and Import—It is essential that the import and export of data are fast and reliable and you exactly that with Infinity, in CSV format.
  • Manage Your Documents—All documents are stored in one place with Infinity.
  • Infinite Structure—Infinite number of boards is available and every user can customize their workspace to their likings.
  • Integration with Other Apps—Infinity has built-in integration with other apps, which primarily allow access to your data management system even when you are away from your PC.
  • Choose One of the Many Templates—Infinity has pre-made templates available, suitable for every occasion. 
  • Team Collaboration is Straightforward—Instant communication via comments section and integration of the whole team within the app is impeccable.
  • Granular Permissions—You can give roles and permissions to your team as well.
  • Zapier Integration—Infinity is connected to the world through Zapier. If you need anything else, you can easily integrate Infinity with almost any other app.

Microsoft SQL

Microsoft features one of the most known SQL databases which can serve the purpose of data management.

What most people don’t know is that Microsoft also offers a free option where you can get a server on an Azure virtual machine that you can use for data management. This way, you still don’t have to host the software by yourself, and yet your whole team can easily access it online.

This database works with software applications so you can store data and have access to it at any time.

When you create a database using Microsoft SQL, you can run queries, manage your data’s structure, and even build machine learning models. This allows advanced data analysis suitable even for the largest companies.

What I like the most about this is not only that it’s a free way to set up a database using the trusted Microsoft SQL, but the database is also automatically encrypted so your data is always secure (even if it gets stolen).

Lotame

Lotame’s suite of data products provides solutions that help marketers, agencies, and publishers grow, understand, engage, and monetize their audiences. Because of its focus on these industries, the company’s data scientists have been able to improve data quality and the accuracy of audience targeting and measurement. 

As an “unstacked” DMP, Lotame doesn’t offer a one-size-fits-all approach. Rather, customers can mix and match tools and capabilities in a cost-effective manner based on their specific needs. 

Lotame integrates with any and all tech and media platforms, including all leading ad servers, demand side platforms, social media platforms, and activation platforms. With access to the platform’s API, organizations are also free to send their data wherever they please. This makes it the perfect platform if you have a large and diverse technology stack or like to avoid vendor tie-in.

Conclusion:

There are many things to consider before getting a data management software. First thing first, is choosing the right software company. There are many things to consider such as cost, compatibility and user interface. It is important to also ensure that it can support future growth or expansion of your business.

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