Category Archives: SQL

How To : Peel back the layers of data and information and reveal meaningful BI with SharePoint

Business Intelligence (BI) often takes on the mantel of exotic, rare, and almost unattainable technology. But at its core, business intelligence is simply a method of reporting on what happened.


Granted it is a type of reporting that reaches beyond an ordinary peek into the rearview mirror of past business events; business intelligence helps to spot future trends, make informed go/no-go decisions, or identify potential threats. BI technology is strongest when it rests on a large supply of valid, diverse and current data, and can leverage the proper tools to help users understand and visualize queries about that data.

This blog post is about how SharePoint 2013 can help users solve practical business information problems, even though they don’t have the time or the budget to custom build an enterprise-scale BI system. The underlying premise of this blog is – show how SharePoint 2013 can provide a reasonable cost-benefit ratio and justify investing in BI technology.

Before we jump into SharePoint 2013 and its capabilities, let’s take a high-level look at Business Intelligence.

What Problems Can BI Solve?

If the only tool you have in your toolbox is a hammer, then every problem might look like a nail. The fact is, most businesses are able to solve most problems without spending a dime on more technology. In other words, the ‘hammer’ most businesses have been using works just fine, because most of their problems look like nails. The challenge they face only comes into focus when their competition is able to solve the same type of problems, but they do it faster, cheaper, and with less effort. Obviously, this can be a doomsday scenario for the company falling behind, technologically speaking.

That said; Business Intelligence is a great tool…but what problems will it solve? Perhaps a better question would be…how do I figure out if BI can help my company? You are not alone in asking these questions. Just because we have the tools to do something amazing like BI, doesn’t mean you need it or can afford it. But it certainly would be beneficial for you to find out if and how a Business Intelligence capability would help your business.

The starting-line to find out if BI makes sense for your organization runs right through your own conference room. You need to sit down with your senior executives and managers and talk to them about the information they rely on to run their part of the business. What information do they need, when do they need it, what do they do with it, what information are they missing, and so on? Initiate this type of conversation and you will, undoubtedly, open up a window of opportunity to discuss the merits of Business Intelligence.

SharePoint 2013 and Business Intelligence

Assuming that you see value in establishing BI capabilities in your organization, a very good first step would be to evaluate Microsoft’s SharePoint 2013. Because Microsoft products are generally used throughout both the back-office and front-office of most businesses, SharePoint 2013 is a very powerful tool to integrate the data with the technical systems required to build BI capabilities.

The main theme for BI is aggregation of data from multiple sources and then making that data available when, where, and how it is needed. BI must also be in complete alignment with all corporate goals while it supports the needs of individual managers who are responsible for achieving those goals. SharePoint 2013 is designed to access information and put it in the hands of employees when and where they need it. Because of SharePoint 2013’s capabilities to enable collaboration and teamwork, its very nature aligns the goals of the business with the goals of the employees.

Data Warehousing Measures and Dimensions

Perhaps the most fundamental requirement of BI is the need for information or data. Often this data is distributed throughout multiple databases and must be aggregated in some form.

In data warehousing, which is the term used to describe the functions necessary to aggregate, store and access data for the purpose of Business Intelligence and analytics, the data is often loaded into Online Analytical Processing (OLAP) cubes. The data stored in a cube can be sorted and filtered based on measures and dimensions. This technique lets users query the cube based on practical business categories which enable calculations to be made such as sum, count, average, min/max, etc. This is called a measure.

The other characteristic used in a cube is called a dimension. Dimensions are a collection of information or references about a measureable event. Each dimension can be measured.
For example, let’s say you wanted to run a report that gives you an up-to-the-minute total on sales volume and the number of units sold for each region of your company. In this example, the regions would be the dimensions and the sales volume and number of units are the measures.

SharePoint is designed to access cubes and work with the data stored in the cube, based on the available measures and dimensions.

Key Performance Indicators Business Intelligence enables visualization of raw data in the form of charts, graphs, pictures, etc. Typically Key Performance Indicators (KPIs), Score Cards, and Dashboards use the raw data and turn it into something that can be easily consumed by a viewer. For example, a project status KPI is commonly displayed as green, yellow or red lights to indicate that the project is on target/no issues, there are minor issues, or the project is in trouble. This BI technique is an easy way to visualize the data and cut through all the non-essential information and get to the point. This also allows the viewer to quickly gauge if the corporate goals are being met or are in jeopardy.

SharePoint 2013 Business Intelligence Solutions

SharePoint 2013 has several products that may be used as part of a BI system. The following is a list of commonly used MS components, all or just some of them can be used to create a practical and powerful BI system:

  • BI Data Services – MS SQL Server Data Services and Integration services (both used to extract, transform and load data from disparate sources)
  • BI Engine MS SQL Server Analysis Services (supports OLAP cubes by letting you design, create, and manage multidimensional structures that contain data aggregated from other data sources, such as relational databases.)
  • PowerShell (a Microsoft task automation framework, consists of a command-line shell and associated scripting language built on .NET technology)
  • PowerPivot for SharePoint (Analysis Servicess server running in SharePoint mode and provides server hosting of PowerPivot data)
  • Microsoft Excel (commonly used spreadsheet with Pivot Tables and Pivot Charts and can be used with SharePoint)
  • Microsoft Performance Point Designer (is integrated with SharePoint to create dashboards, score cards, and analytics.

Setting Up SharePoint 2013

When SharePoint 2013 is installed and configured, Central Administration (CA) is provisioned. Central Administration is where you control all the settings and features of SharePoint Product sites for Web applications, like Excel or Performance Point. CA is a convenient tool that helps in linking the applications and tools required by SharePoint to set up a BI system. You will also use Microsoft’s PowerShell to set up the infrastructure for SharePoint sites so they can run in a multi-tenant environment on a single physical server or virtual server.

Excel Services or Performance Point

You can use either or both of these tools to create dashboards. Either one will help you establish trusted locations (e.g. http:// links), data providers, libraries, and databases.
Excel is often the easiest and most familiar tool to display and analyze BI data. Since Excel has been around a long time and so many people are experienced when it comes to using Excel, it is a good choice as the front-end tool to put on your BI environment.

With Excel you can add measures and dimensions from a source data cube (created by Analysis Services) and then use the Pivot Chart capabilities in Excel to select the fields you want to display, such as sales amount, product categories, sales by geography, etc. You can also create Pivot Tables is you want to display a spreadsheet with multiple columns and rows, also using the fields from the cube.

SharePoint’s Practical Solution

Microsoft and SharePoint have all the tools you need to create a very robust and practical BI solution. It is probable that you currently own licenses to many of the components, if not all, that are required to build a solution. If you are interested in Business Intelligence and you would consider a Microsoft-based solution, you might find that you can be up and running in a matter of days with a minimal investment.

How To : Use SharePoint Dashboards & MSRS Reports for your Agile Development Life Cycle

The Problem We Solve

Agile BI is not a term many would associate with MSRS Reports and SharePoint Dashboards. While many organizations first turn to the Microsoft BI stack because of its familiarity, stitching together Microsoft’s patchwork of SharePoint, SQL Server, SSAS, MSRS, and Office creates administrative headaches and requires considerable time spent integrating and writing custom code.

This Showcase outlines the ease of accomplishing three of the most fundamental BI tasks with LogiXML technology as compared to MSRS and SharePoint:

  • Building a dashboard with multiple data sources
  • Creating interactive reports that reduce the load on IT by providing users self-service
  • Integrating disparate data sources

Read below to learn how an agile BI methodology can make your life much easier when it comes to dashboards and reports. Don’t feel like reading?

Building a Dashboard with LogiXML vs. MSRS + SharePoint

Microsoft’s only solution for dashboards is to either write your own code from scratch, manipulate SharePoint to serve a purpose for which it wasn’t initially designed, or look to third party apps. Below are some of the limitations to Microsoft’s approach to dashboards:

  • Limited Pre-Built Elements: Microsoft components come with only limited libraries of pre-built elements. In addition to actual development work, you will need to come up with an idea of how everything will work together. This necessitates becoming familiar with best practices in dashboards and reporting.
  • Sophisticated Development Expertise Required: While Microsoft components provide basic capabilities, anything more sophisticated is development resource-intensive and requires you to take on design, execution, and delivery. Any complex report visualizations and logic, such as interactive filters, must be written in code by the developer.
  • Limited Charts and Visualizations: Microsoft has a smaller sub-set of charts and visualization tools. If you want access to the complete library of .NET-capable charts, you’ll still need to OEM another charting solution at additional expense.
  • Lack of Integrated Workflow: Microsoft does not include workflow features sets out of the box in their BI offering.

LogiXML technology is centered on Logi Studio: an elemental, agile BI design environment which lets you simply choose from hundreds of powerful and configurable pre-built elements. Logi’s pre-built elements equip developers with tools to speed development, as well as the processes and logic required to build and manage BI projects. Below is a screen shot of the Logi Studio while building new dashboards.


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Logi developers can easily create static or user-customizable dashboards using the Dashboard element. A dashboard is a collection of panels containing Logi reports, which in turn contain table, charts, images, etc. At runtime, the user can customize the dashboard by rearranging these panels on the browser page, by showing or hiding them, and even by changing their contents using adjustable reporting criteria. The data displayed within the panels can be configured, as in any Logi report, to link to other reports, providing drill-down functionality.



The dashboard displayed above has tabs and user customization enabled. The Dashboard element provides customization features, such as drag-and-drop panel positioning, support for built-in parameters the user can access to adjust the panel’s data contents, and a panel selection list that determines which panels will be displayed. AJAX techniques are utilized for web server interactions, allowing selective updates of portions of the dashboard. Dashboard customizations can be saved on an individual-user basis to create a highly personalized view of the data.

The Dashboard Wizard

The ‘Create a Dashboard’ wizard assists developers in creating dashboards by populating the report definition with the necessary dashboard-related elements. You can easily point to any data source by selecting from a variety of DataLayer types, including SQL, StoredProcedures, Web Services, Files, and more. A simple to use drag and drop SQL Query builder is also integrated, to offer a guided approach to constructing queries when connecting to your database.


Using the Dashboard Element

The Dashboard element is used to create the top level structure for all of your interactive panels within the final output. Under your dashboards, you can optionally add any number of Dashboard Panels, Panel Parameters for dynamic filtering, and even automatic refresh features with AJAX-based refresh timers.


Changing Appearance Using Themes and Style Sheets

The appearance of a dashboard can be changed easily by assigning a theme to your report. In addition, or as an alternative, you can change dashboard appearance using style. The Dashboard element has its own Cascading Style Sheet (CSS) file containing predefined classes that affect the display colors, font sizes, button labels, and spacing seen when the dashboard is displayed. You can override these classes by adding classes with the same name to your own style sheet file.

See us build a BI app with 3 data sources in under 10 minutes.

Ad Hoc Reporting Creation with LogiXML: Analysis Grid

The Analysis Grid is a managed reporting feature giving end users virtual ad hoc capability. It is an easy to use tool that allows business users to analyze and manipulate data and outputs in multiple and powerful ways.


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Create an Analysis Grid by using the “Create Analysis Grid” wizard, or by simply adding the AnalysisGrid element into your definition file. Like the dashboard, data for the Analysis Grid can be accessed from any of the data options, including SQL databases, web sources, or files. You also have the option to launch the interactive query builder wizard for easy, drag-drop, SQL query creation.

The Analysis Grid is composed of three main parts: the data grid itself, i.e. a table of data to be analyzed; various action buttons at the top, allowing the user to perform actions such as create new columns with custom calculations, sort columns, add charts, and perform aggregations; and the ability to export the grid to Excel, CSV, or PDF format.

The Analysis Grid makes it easy to perform what-if analyses through features like filtering. The Grid also makes data-presentation impactful through visualization features including data driven color formatting, inline gauges, and custom formula creation.

Ad Hoc Reporting Creation with Microsoft

While simple ad hoc capabilities, such as enabling the selection of parameters like date ranges, can be accomplished quickly and easily with Microsoft, more sophisticated ad hoc analysis is challenging due to the following shortcomings.

Platform Integration Problems

Microsoft BI strategy is not unified and is strongly tied to SQL Server. To obtain analysis capabilities, you must build cubes through to the Analysis Service, which is a separate product with its own different security architecture. Next, you will need to build reports that talk to SQL server, also using separate products.

Dashboards require a SharePoint portal which is, again, a separate product with separate requirements and licensing. If you don’t use this, you must completely code your dashboards from scratch. Unfortunately, Microsoft Reporting Services doesn’t play well with Analysis Services or SharePoint since these were built on different technologies.

SharePoint itself offers an out of the box portal and dashboard solution but unfortunately with a number of significant shortcomings. SharePoint was designed as a document management and collaboration tool as opposed to an interactive BI dashboard solution. Therefore, in order to have a dashboard solution optimized for BI, reporting, and interactivity you are faced with two options:

  • Build it yourself using .NET and a combination of third party components
  • Buy a separate third party product

Many IT professionals find these to be rather unappealing options, since they require evaluating a new product or components, and/or a lot of work to build and make sure it integrates with the rest of the Microsoft stack.

Additionally, while SQL Server and other products support different types of security architectures, Analysis Services only has support for using integrated Windows NT security models to access cubes and therefore creates integration challenges.

Moreover, for client/ad hoc tools, you need Report Writer, a desktop product, or Excel – another desktop application. In addition to requiring separate licenses, these products don’t even talk to one another in the same ways, as they were built by different companies and subsequently acquired by Microsoft.

Each product requires a separate and often disconnected development environment with different design and administration features. Therefore to manage Microsoft BI, you must have all of these development environments available and know how to use them all.

Integration of Various Data Sources: LogiXML vs. Microsoft

LogiXML is data neutral, allowing you to easily connect to all of your organization’s data spread across multiple applications and databases. You can connect with any data source or data model and even combine data sources such as current data accessed through a web service with past data in spreadsheets.

Integration of Various Data Sources with Microsoft

Working with Microsoft components for BI means you will be faced with the challenge of limited support for non-Microsoft based databases and outside data sources. The Microsoft BI stack is centered on SQL Server databases and therefore the data source is optimized to work with SQL Server. Unfortunately, if you need outside content it can be very difficult to integrate.

Finally, Microsoft BI tools are designed with the total Microsoft experience in mind and are therefore optimized for Internet Explorer. While other browsers and devices might be useable, the experience isn’t optimized and may potentially lack in features or visualize differently.


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