Reporting Tools

SSRS

SQL Server Reporting Services (SSRS) is a SQL Server subsystem that enables the creation of graphical, mobile and printed reports using SQL Server and other data sources. SQL Server is a relational database management system (RDBMS) that supports transaction processing, business intelligence and analytics applications.

SSRS allows businesses to provide decision making information to end users in a variety of formats based on information stored in SQL Server and other data sources. SSRS has been delivered as a part of the SQL Server Standard and Enterprise editions since the SQL Server 2005 release.

SSRS is used by both end users and database professionals. Reports can be created by database professionals using the Report Designer in SQL Server Data Tools (SSDT) as well as by end-users with the Report Builder tool. End users consume the SSRS reports and select end users can create reports. Database professionals also manage subscriptions and the

Advantages of SSRS:

OBTAINING DATA:– Reporting Services can extract information from any data source. Unlimited. Naturally, it communicates with SQL Server, but you can also access third-party databases such as MySQL, Oracle, Informix, etc. In the case of Reporting Services 2005, you can also consult Analysis Services.

REPORT DESIGN:– In the current versions, Reporting Services incorporates by default Microsoft SQL Report Builder, a very simple tool to use – as if it were a Word – and, instead, with a lot of power to make the reports.

REPORT EXPORT:– The Ms platform presents a wide range of file formats to be able to export to the final consumer. Among them, PDF, XLS, HTML, CSV

SUBSCRIPTION TO REPORTS:- Subscribing to SSRS allows you to run specific reports and define delivery date via mail to the specified account and even with a defined format or deliver reports to folders or websites.

How SQL Server Reporting Services work?

SSRS consists of four main components: The Reporting Services service, the Web Portal, the Report Designer and the Report Builder. Reports are created using the Report Designer or the Report Builder. The Report Designer is a more robust and complicated tool that is designed for data professionals. It can be run from SSDT or as an add-on to Visual Studio 2019. The Report Builder is a more straightforward tool designed to enable end-users to create reports. These SSRS report creation tools generate Report Definition Language (RDL) files that control how the reports will look and act. The Reporting Services service takes the RDL files as input and uses them to render the SSRS reports. The Web Portal takes the place of the older Report Manager and it is used to manage, secure and run SSRS reports.

Tableau

Tableau helps people and organizations be more data-driven As the market-leading choice for modern business intelligence, our analytics platform makes it easier for people to explore and manage data, and faster to discover and share insights that can change businesses and the world.

Tableau Server is a product designed to host your company's dashboards and be a central repository. It allows dashboards to be shared out automatically to stakeholders and allows for stakeholders to favourite certain views, add comments, or edit in the browser.

Key Benefits of Tableau:

This platform is well known for taking all kinds of data from just about any system and quickly turning it into actionable insights. This leading data visualization tool puts data at the forefront of collaboration and decision-making so users can find new opportunities to innovate. If you’re looking for a business intelligence tool to help you derive value from data, here are a few reasons why Tableau is a great option

User-Friendly Interface

The intuitive, easy-to-use design means creating data visualizations doesn’t require complex coding or SQL queries. Because of this, Tableau is accessible for users of all levels, and you don’t have to have a technical background to create customized dashboards.

Robust Data Visualization Capabilities

The Dashboards feature uses text, graphic objects, visualizations, and other elements, all within a simple drag-and-drop interface that is very easy to learn. Dashboards allow users to analyze multiple views together to identify patterns they might not otherwise have seen by looking at views independently.

Advanced Data Analysis Features

Here’s a quick and dirty breakdown of the analysis features that helps Tableau stand out:

Tableau visualizations use live data connections or data extracts that often refresh on a schedule with the frequency based on business needs.

The Data Guide, available in both the Desktop and Cloud versions, gives decision-makers more information about the data used in the view, but also helps to identify outliers and offer explanations as to why those marks are anomalous using statistical analysis.

Cloud users can create alerts on visualizations based on certain criteria they configure so they are informed when thresholds are reached. They can also subscribe to views, receiving a PDF or image via email at a frequency they specify. Tableau Pulse is a new feature in Tableau Server and Tableau Cloud that generates and packages insights that answer common questions users may have about the visualizations they are viewing. It uses natural language enhanced with AI to deliver answers in summaries and guided conversations. The Metrics Layer is a way for organizations to standardize metrics that matter most to users. It also identifies what those metrics represent and how different metrics relate to one another. It allows the Tableau Pulse Insight platform to answer the why behind the questions business users ask. Metrics are then presented in tiles, much like many of the personal apps people use to get quick snippets of information. Users can add metric definitions and follow metrics to keep informed on a regular basis. People who do not regularly access Tableau can also use this to understand the data without the need to learn a whole new tool.

Option to Combine Data

Tableau offers several ways to blend data from multiple tables/sheets as well as from multiple sources. Users can employ table joins, relationships, and data blending to work with data from more than one source.

Relationships are the default method for combining data. They are flexible and adapt from worksheet to worksheet as users create visualizations. You can even use relationships on multiple tables or sheets that have different levels of detail.

Joins combine tables much like a database query, creating a set of data that combines columns from two or more tables into a single data source. If data is at different levels of detail, duplication can be a problem. You can’t use a published data source in a join.

Data blending does not combine the data into a single data source, but rather combines the data separately on each worksheet where a blend is used. Users first build the individual data sources they want to use in the blend, then build the worksheet and use the fields they want from the two data sources they want to combine. Data blends cannot be saved as independent data sources – they only exist on the worksheet where they were created as the visualization was built.

Tableau blends offer two main benefits. First, blends can handle different levels of detail. If data is transactional in one table but summarized in another, blending data is one solution when data from both tables needs to be combined. I think the main reason to use blends would be to work with published data sources. Since users cannot use joins or relationships to combine data between already published data sources, a data blend would be the best way to handle that situation.

Seamless Integration with Multiple Data Sources

No matter where your data lives, Tableau can reach it. That includes such data sources as regular text files (.txt, .csv), Microsoft Excel (.xlsx), Microsoft Access (.accdb), Tableau workbook (.tbm), and Tableau Table data Extract (.tds). The platform also supports cloud-based data storage and integrations with popular cloud platforms like Azure, AWS, Mulesoft, Oracle, and others.

Collaboration and Sharing

Tableau gives multiple users access to shared data sources so they can work on the same project in real time. Teams can divide and conquer by working on different sheets or dashboards within the same workbook simultaneously.

Power BI

Microsoft Power BI enables you to create rich, interactive reports with visual analytics, providing up-to-the-minute analytics that everyone at every level of your organization has access. At Celequa, our expertise lies in helping you harness the power of self-service analytics, empowering your team to derive actionable insights from your data. We go beyond just providing tools - we partner with you to strategize, establish, and manage a robust Power BI ecosystem. By leveraging the full potential of your data, we help you unlock its true value and maximize its impact on your business. Our experts can help you end-to-end with:

Power BI Consultation

• Power BI Implementation
• Power BI Customization
• Data Visualization

Dashboard Creation Support

• Power BI User Adoption And Training
• Managed Services And Support

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