Data Analysis Hub
Properly managing and analyzing data is crucial for software development teams and companies aiming to connect key stakeholders and change-makers. Atlassian’s data analysis hub is a central repository where companies can efficiently and securely store, manage, and exchange data across multiple sources.
SQL
SQL, or Structured Query Language, is one of the most popular query languages because it integrates well with other programming languages and can assist in building data processing applications. As valuable as SQL is, teams often face challenges leveraging this programming language.
For example, malicious users can exploit SQL injection and compromise databases. Therefore, teams who use SQL for their databases must implement security measures, such as input validation and parameterized queries.
Additional challenges include constantly monitoring and optimizing databases to maintain performance and keep data up-to-date. To do this, data administrators often perform indexing and query optimization.
Managing large amounts of SQL-based data in one location can be challenging, especially when multiple teams need access to the same data.
Fortunately, Atlassian offers a variety of software solutions that can solve a wide variety of SQL challenges and enhance how teams use SQL to communicate and collaborate. Atlassian has various software tools and services that solve challenges with SQL, including:
Jira
Atlassian's Jira easily integrates with SQL databases, allowing teams to track and manage issues linked to their databases. Jira enables teams to connect tasks directly to their databases and associate them with specific database queries. As a result, Jira makes it easy to keep track of task-dependent parts of an SQL database, which may contain issues that could compromise the database’s security.
Confluence
Atlassian's collaborative workspace tool, Confluence, provides a central location for teams to document and share SQL queries, database schemas, and data-related knowledge.
While Confluence can store large amounts of SQL-based data in one location, its ability to create and maintain comprehensive documentation makes it easy to distinguish which data belongs to which teams. Confluence also makes it simple for individuals to showcase their data insights directly with team members in a collaborative workspace.
Bitbucket
Atlassian's Bitbucket is a version control system that allows teams to collaborate on SQL scripts, track script changes, and manage the version histories of those database script changes. Similar to Confluence, Bitbucket ensures that team data is well-documented. These capabilities also solve the SQL challenge of a team's database's performance, consistency, and accuracy.
Additional Atlassian SQL tools and add-ons
There are other Atlassian tools and add-ons that companies can use to enhance their use of SQL. The Power Scripts for Jira add-on helps companies automate and script SQL database-related tasks. This makes it easier for data administrators to manage SQL data and streamline internal processes.
Database management
Database management is a computerized data-keeping process that handles how a company conducts data analysis and stores, collects, organizes, accesses, protects, and manipulates data throughout its lifecycle. Effective data management solutions must address several challenges to ensure that data within a database management system remains secure, trusted, and accessible.
First, data management systems sometimes struggle to track and manage large amounts of data. Fortunately, with Confluence, tracking and managing extensive data collections within a database management system has never been easier. Confluence provides comprehensive documentation that distinguishes between different data sets, making the process seamless.
A common obstacle in data management is the need for knowledge and skills to analyze data effectively within a database management system. This leads to potential issues, as overly complex data analysis tasks can result in data being overlooked or underutilized.
Atlassian Analytics simplifies data analysis by offering flexible visualization methods across Atlassian products and other data sources. With Atlassian Analytics, companies can effortlessly scale a team, drive growth, improve efficiency, and make better-informed decisions.
Data administration
Data administration is the process by which administrators monitor and manage data. Through effective data administration, companies can control their data assets, processing, and interactions with other applications.
Data administrators handle common data-related issues, including data growth, changing technology, and cybersecurity threats. Confluence offers comprehensive documentation capabilities to distinguish extensive data collections from one another, helping data administrators solve problems arising from data growth.
Data administrators can rely on Atlassian’s Jira, which tracks security issues within a database, to help solve cybersecurity problems.
Regarding changing technology, data administrators should invest in Atlassian Analytics. Atlassian Analytics provides data administrators with the resources to streamline their data analysis processes, conduct data visualization, and analyze data with easy-to-use technology.
Data administrators are also responsible for managing company data as the company grows, so they must plan accordingly for increased storage, processing, and analysis necessary to handle large datasets.
To accommodate an increase in data volume, data administrators must invest in scalable hardware, software infrastructure, and cloud-based data virtualization. Data admins within growing companies should also invest in advanced analytics to gain valuable insights from their data, no matter how extensive or complex.
Charting solutions
Often, it’s difficult for data administrators to conduct data analysis because it can be difficult to keep track of everything. One tool that helps make tracking data less stressful and tedious is charts. Using charts, data administrators can easily visualize the trends and patterns of the data they are analyzing.
To make the most out of data visualization charts, data administrators should take advantage of Atlassian Analytics. By connecting data sources to Atlassian Analytics, teams can access charts that reflect the most up-to-date, real-time data—empowering data analysts to make better-informed strategic decisions. Learn how to create charts and customize charts with Atlassian Analytics.
Benefits of using Atlassian’s data analysis hub
There are numerous benefits to using Atlassian’s data analysis hub. Some key benefits include:
Efficiency
Analyzing data for a growing company can be labor-intensive if teams don’t use the proper tools and resources to streamline routine processes. By harnessing Atlassian’s data analysis hub, companies can efficiently store, manage, and exchange data across multiple sources.
Security
When companies spread their data across too many locations, some can easily get lost. Data loss can lead to security breaches and confusion, among other issues. By leveraging Atlassian’s data analysis hub, companies can take measures to securely store their data in a central repository.
Reliability
By providing a central location for company data, Atlassian's data analysis hub creates a reliable source of truth for administrators and analysts—allowing them to harness real-time data and powerful visualizations to make well-informed company decisions.
Innovation
Atlassian's innovative approach to data analysis offers streamlined data visualization through customizable charts. When data is clearly organized and displayed, it becomes easier to understand why a company is succeeding or failing and where adjustments are needed.
Take advantage of Atlassian's data analysis hub
Unlock the full potential of your data with the Atlassian data hub—the ultimate destination for fast, secure, and reliable insights. By leveraging Atlassian’s advanced features and capabilities, data administrators and analysts can filter out the noise to make clear, informed decisions.
Atlassian Analytics allows teams to visualize data across all products and other sources, making it easy to gain valuable insights, make informed decisions, and create accurate company forecasts. Use Atlassian’s data analysis hub to analyze program and portfolio metrics and track company performance.
Atlassian’s data hub can help you better understand company development cycles, identify potential blockers across projects, monitor and alleviate service blockers, and analyze how teams create and manage content. Get an overview of Atlassian Analytics and the data analysis hub today!