Data analytics tools help your organization understand the insights in your data through custom dashboards, reports, applications, and other visualizations. This software category covers a broad range of capabilities and use cases, from drag-and-drop, no-code dashboard creation software to end-to-end data extraction, analytics, and management platforms. We picked eight of the top data analytics tools for 2024 by referencing G2 ratings and reviews.

Like peanut butter and jelly, ETL and data modeling are a winning combo. Data modeling can't exist without ETL, and ETL can't exist with data modeling. Not if you want to model data properly. Combining the two defines the rules for data transformations and preps data for big data analytics. In the age of big data, businesses can learn more than ever about their customers, identify new product opportunities, and so on.

Data integration is essential for any competitive business. The ability to sync all your data from disparate sources powers better insights, analysis, and ultimately faster business decision-making. Change data capture (CDC) is one element of data integration that focuses on keeping data accurate with near real-time updates as soon as data within a data source changes.

Microsoft SQL is a popular relational database management system organizations use to manage and store data. As data volumes grow, extracting, transforming, and loading data has become essential for many businesses.

Amazon Simple Storage Service (Amazon S3) is a cloud-based object storage service from Amazon Web Services that collects data from anywhere on the internet. In today's data-driven world, businesses rely heavily on seamless data integration and transformation processes to unlock the full potential of their vast data resources. But what happens if you want to move data from Amazon S3 to a data warehouse for analysis?

2023 was a rough year for data security. A quick look at the biggest hacks of this year reveals some very disturbing information and trends. There were many specific hacks and data breaches that malicious actors were able to accomplish. Cybercrime skyrocketed in 2023. The rise in cybercrime was fueled largely by the continued COVID-19 pandemic and the work-from-home measures taken by countless businesses. According to one report, cybercrime increased 600%.

All tools on our list have proven to be capable and flexible enough to fit a variety of use cases. So, how do you choose? As you review these options, assess them based on the analytics tools, reporting tools, data management features, and integrations. If you find a cost-effective tool that matches the technical abilities of your team while delivering the backend power you need, you've got a winner. Data analytics makes decision-making five times faster for organizations.

Five things you need to know about data governance tools: Data governance refers to the methodologies, procedures, and standards that control how your organization processes, manages, stores, and shares data. Legislation in your jurisdiction or industry — such as General Data Protection Regulation (GDPR), California Consumer Privacy Act (CCPA), and Health Insurance Portability and Accountability Act (HIPAA) — might require you to safeguard all the data that flows through your enterprise.

Launched in 2006, Salesforce Apex revolutionized the CRM landscape, offering unprecedented customization capabilities that transformed how organizations interact with their customer data. Today, its potent and intricate features continue to make it a cornerstone in CRM management, though navigating its complexities often demands dedicated training and extensive experience, underscoring its sophistication in the realm of advanced CRM solutions.

To gather useful insights from your data, you must integrate all of your data sources. What was once a highly technical and manual process is now simplified through the use of data integration solutions, such as Workato, Zapier, and Integrate.io. All of these platforms support organizations of different sizes and backgrounds to manage their data sources across cloud computing infrastructure. And each one brings unique strengths to the table.