7 Best Data Visualization Tools for Every Kind of User
As a business professional, you know that data is essential to making informed decisions. But what if you don’t have the time or resources to
victoria
September 17, 2022
As a business professional, you know that data is essential to making informed decisions. But what if you don’t have the time or resources to
Data management software helps organizations and data professionals store, organize, process, and retrieve analysis-ready data.
As technology advances, the amount of data generated is growing exponentially. The Internet Data Center (IDC) predicts that the amount of data created, collected, or copied by 2025 will be 174.8 zettabytes. Data management software helps businesses manage this data efficiently, and derive meaningful insights from the data they collect from various sources.Â
There are different types of data management software for the various types of data as well as the different steps in the data management process.
Data warehousing software are used to store and manage large volumes of critical data assets from different sources. They provide centralized storage for data, making the data easy to access. Some popular options are Amazon Redshift, Google Cloud BigQuery, and Snowflake,
Database management software helps users interact with an organized collection of data. They allow you to create, update, and manage data in the database. Examples of great DBMSs are MySQL, Oracle, and Microsoft Access.
These software are used to manage data that is used to classify other data, also known as reference data. They help organizations ensure data accuracy and consistency across all systems.
They aid businesses in ensuring the consistency, accuracy, and completeness of their critical data assets. These contain tools for profiling, filtering, and enhancing data. Examples include Ataccama and Precisely Trillium Quality.
These help companies manage their storage infrastructure, such as disk arrays, tapes, and cloud storage. The software provides tools for managing storage capacity, performance, and data protection.
Why does your organization need data management software? Let’s dig in!
Without data management systems, data would have to be input, processed, and analyzed manually, which would be a huge hassle. Data management products streamline data processing, storage, and retrieval to improve the efficiency of business users.
By increasing operational effectiveness and saving time, data management software can assist businesses in cutting expenses. They eliminate the need for manual data processing and lessen the possibility of costly human error.
With data management products, your business can guarantee the consistency, accuracy, and completeness of its data. They offer tools for profiling, purging, and enriching data, which produce high-quality data.
When it has a user-friendly interface, data management software enables different teams within an organization to access and share data easily. They promote collaboration and communication between business users.
Some of the key features of data management software are:
| Features | Description |
| Data storage | Provides a centralized location to store various types of data. |
| Data Security | Prevents unauthorized access to sensitive data using user authentication and access features. |
| Data Integration | Provides a single interface for accessing a wide range of data from disparate systems, including databases, applications, and systems. |
| Data Analytics | Data management software often has built-in analytics tools that enable users to analyze data and generate business insights. |
| Data Backup and Recovery | This enables regular backups of data, making sure that data can be recovered in the unfortunate event of any data loss or corruption |
There are some data management software such as Talend Open Studio and CKAN, which offer free, open-source data management solutions for businesses. Organizations with less data needs tend to use some of the free open-source options while larger organizations would prefer enterprise solutions.
IBM Infosphere Master Data Management starts at $31,000 per month, while software like Oracle offers its database management software solution for between $92-$460 for personal usage and $4,750-$47,500 for large enterprises.
Some businesses would prefer to develop their own data management software which can run anywhere from a few thousand dollars to millions of dollars depending on the features and other running costs.
Some paid data management software solutions figure the costs of implementation, training, and ongoing maintenance into their pricing structures, while others offer these services for free or as separate add-ons.
There are many data management software options available in the market. Some of them include:
Google BigQuery is a cloud data warehouse that provides cost-effective solutions for managing large datasets. The software includes advanced analytics and data-driven insights that help businesses make better-informed decisions. Google BigQuery is great for e-commerce and SaaS businesses as it integrates with other Google Cloud products, such as Google Shopping to provide a comprehensive solution for e-commerce marketing teams.
This is a comprehensive solution for managing data across a business. It provides a user-friendly interface that simplifies the management processes, ensuring the accuracy and consistency of data. SAS Data Management has tools like reference data management and business rules that allow business users access to accurate analytics.
This is one of the industry leaders, providing centralized management of data in public clouds. The software comes with a logical data warehouse for businesses to store and manage high-quality data, while providing access control and governance functionality. Oracle Big Data Cloud integrates with other Oracle products such as Oracle E-Business Suite and Oracle Fusion Cloud ERP to provide a seamless data management experience.
This is a cloud data management software that provides a user-friendly interface for governing data in an organization. Businesses can successfully store and manage their critical data assets thanks to the software’s custom metadata management and digital asset management features.
Here’s a quick comparison of these products:
Google BigQuery |
SAS Data Management |
Oracle Big Data Cloud |
Tableau Data Management |
|
| Data Storage | Cloud-based | On-premise/Cloud-based | Cloud-based | On-premise/Cloud-based |
| Data Processing | Serverless | Batch and real-time | MapReduce, Spark, Hadoop | In-memory processing |
| Data integration | Built-in integration with GCP | ETL and ELT capabilities | ETL and ELT capabilities | Integrates with ETL tools |
| Scalability | Highly scalable | Scalable, but not as much | Highly scalable | Highly scalable |
| Security | Strong security controls | Strong security controls | Strong security controls | Strong security controls |
| Pricing model | Pay-as-you-go | Subscription-based | Pay-as-you-go | Per-user, per-server |
| Pros | – High scalability
– Serverless processing – Strong security controls – Built-in integration with GCP |
– Comprehensive features
– Strong data governance – Good data integration |
– Integrates with Oracle
– Strong security controls – High scalability |
– In-memory processing
– Integrates with ETL tools – Comprehensive features |
| Cons | – Limited integration options
– Limited data sources – Limited support for ETL |
– Can be expensive
– Steep learning curve – Requires specialized skill |
– Can be expensive
– Limited data sources – Limited support for ETL |
– Can be expensive
– Limited scalability – Limited data sources |
Organizations need powerful data integration tools for effective and efficient management processes in a single interface. Some of the best data integration tools are
Cloud data warehouses such as Amazon Redshift, Google BigQuery, and Snowflake are becoming increasingly popular due to their scalability, flexibility, and cost-effectiveness. Cloud environments like these as well as public clouds like Amazon Web Services (AWS), Google Cloud Platform (GCP), and Microsoft Azure integrate with data management systems.
Backup software is used to create and maintain backup copies of data, typically for disaster recovery, when data gets compromised or corrupted, as well as for other purposes. Backup software enables organizations to protect their data from loss or corruption, which makes it a critical part of effective data management. Examples are Veritas Backup Exec and Veeam Backup & Replication.
Businesses use analytical tools and BI tools like Power BI, QlikView, R, Python, and SAS Data Management to visualize. analyze and model data.Â
Other widely-used data integration software are Talend, Microsoft SQL Server Integration Services (SSIS), and Oracle Data Integrator (ODI). They are popular data integration tools with easy-to-use drag-and-drop functionality that provides a wide range of data integration capabilities, including data profiling, big data integration, and data governance.
Some of the common issues that organizations may face when using data management software include:
Integration problems and inconsistent data can result when the program is incompatible with an organization’s IT infrastructure.
Users should thoroughly evaluate the software’s compatibility with current systems in order to prevent compatibility problems.
Some data security risks include data breaches, cyber-attacks, and unauthorized access to sensitive data.Â
For risk management, users shoould implement strong data security measures like encrypting sensitive data, implementing firewalls, and training employees on how to handle data securely.
Data quality is more important than ever in a world where 20% of database records contain contact data with data quality issues. These issues arise when the data management tool is not configured correctly or when the data is entered incorrectly.Â
To ensure high-quality data without duplicate records, an organization should establish quality rules, data management policies, and governance controls, while regularly reviewing data.
A comprehensive data management application can be expensive, especially for organizations that require advanced features and capabilities. This is often inhibitive for smaller organizations.
To reduce costs, carefully evaluate the organization’s needs and choose software that provides the necessary features within the organization’s budget.
Data management software are constantly evolving and adapting to new technologies and ever-changing business needs. Some important trends and developments to derive maximum benefits include:
As more businesses move to the cloud, data management software follows suit. This allows organizations to store and manage data with cloud data management solutions in a secure and accessible manner without the need for costly, on-premises infrastructure.
The robots are coming! Artificial intelligence and machine learning are rapidly transforming the data management landscape. They allow data management tools to analyze and extract insights from vast amounts of data quickly and provide predictive insights.
Data governance and regulatory compliance have become increasingly crucial in recent years. Businesses today need integration with industry-specific solutions like ESG and sustainability data management platforms.
Features like data lineage, data cataloging, and data classification, help organizations identify, track, and manage their data effectively.Â
Low-code and no-code data management solutions are becoming increasingly popular, particularly among small businesses. Code-free data integrations allow businesses to manage their data without requiring extensive coding knowledge or expertise.
Web analytics software enables organizations to better understand how their website is being used and how visitors are interacting with their content by tracking and analyzing website usage data, including metrics such as page views, bounce rates, and conversion rates. Data management software allows businesses store and manage all of this data that helps inform website design, content strategy, and other activities for the businesses.
Server management software is used to manage and monitor servers and the associated hardware, software, and network infrastructure within an organization. Since servers often host important data and applications that must be available, secure, and performing optimally at all times, effective data management systems are necessary for this.
Lead capture software enables organizations to capture, collect, store, and manage data on potential customers, which can then be used to support sales and marketing activities. Effective lead capture is needs solid data management tools, as it helps organizations build and maintain a comprehensive and accurate database of customer information.
This is used by schools and educational institutions to manage student and administrative data, including information on students, faculty, staff, courses, and schedules. Data management tools are critical to the operations of school administration software as they helps schools maintain accurate and up-to-date records, monitor student progress, and support teaching and learning activities.
