Introduction

We are going to discuss a very important option in SQL Server Reporting Services (SSRS), which is Subscriptions in SSRS. Typically, Reporting service is used to view reports. However, most users would prefer to receive the report to their inbox in the preferred report format, such as Word, Excel, or PDF in a preferred time. Further, you might want these reports to be delivered to a file share. Let us see how we can achieve these options using Subscriptions in SSRS and what are the challenges and pre-configurations.

The SSRS report builder is a powerful tool for data visualization. In this article, we will take a first step into familiarizing ourselves with the SSRS report builder and we will also demonstrate a very basic SSRS report example. Additionally, we will review the self-service business intelligence approach just because this approach can be implemented through the SSRS report builder very easily.

In this article, we will explore SQL Server Reporting Services (also known as SSRS) architecture and its main components. We will also discuss SSRS extensions and related tasks. Additionally, we will discuss the Report Server and Report Server temporary databases.

This article will explain detailed usage of parameters in mobile reports in SSRS. Parameterized reports are important because report readers want to filter and customize their report data with parameters and this option helps report readers to focus on particular data. A parameterized SSRS report uses parameters as an input value and filters the report data according to these parameters. In this article we will focus, in particular, on how to use parameters and data sources together and how can we manage the parameters in mobile SSRS reports.

As developers of business intelligence solutions, we tend to service different types of business users. Whilst a call center supervisor is more likely to consume reports that offer detailed breakdown of day-to-day performance of her call center agents, senior managers on the other hand often prefer big-picture analytical reports that represent data in a form of colorful graphs and charts. Not surprisingly, such reports often make use of heatmap controls to provide visually effective comparative view of business metrics against set targets.

In the SQL Server Reporting Service (SSRS) report development process; we can use a beneficial feature which is called the “shared dataset”. The purpose of SSRS embedded datasets are to retrieve data from target data sources for only one report but a shared dataset can be used by multiple reports to retrieve data.

One of the most powerful reporting tools is Microsoft is SQL Server Reporting Service, also known as SSRS. SSRS offers various, impressive features including reports subscriptions, custom code, paginated reports etc. In this article, we are going to review some key features in SSRS, with a highlight on Bollinger Bands

After the native installation of the SQL Server Reporting Service, we may need to customize some settings of Report Server. SQL Server Reporting Service provides a tool that is named as such; Report Server Configuration Manager. This tool helps us to customize SQL Server Reporting Service parameters and configurations. With the Report Server Configuration Manager, we can change and customize various parameters of the SQL Server Reporting Service. We can find the below settings in Report Server Configuration Manager:

Key Performance Indicator (KPI)

A Key Performance Indicator aka KPI is a metric which objectively measures the numeric equivalent of goals or targets of a company, team or an organization. Any individual or a community which has a numerical target can measure success of their goal with key performance indicators.

In all business roles and levels, if you manage a team you most likely have to set at least one key performance indicator and try influence this metric to show a positive result or trend. KPIs should be both logical and achievable. If not, team motivation and morale may decrease as a result of loss of self-confidence. For this reason, we have to be careful and logical when we set key performance indicators. At the same time, we have to check KPIs at regular intervals to determine if they remain valid. We can illustrate a typical KPI life cycle below.