dashboard Archive

Data Quality Dashboards

By
Moksh
Published: April 20, 2010Posted in: Business Intelligence, Infoburst 2009, XcelsiusTags: , , ,
Data Quality Dashboards

The stream of articles, white papers and videos desperately trying to convince the business community of the negative impact of poor data quality on their bottom line seems to be never ending.  It almost seems like the IT brigade is marching into a cul-de-sac at the end of which is a brick wall with three large letters written on it – ‘ROI’.  Data Quality projects share their dreaded fate with all other projects emanating from the IT division and including the geeky word ‘data’ in their title.  While the management continues to remain blissfully ignorant of the unsettling financial and human consequences of bad data, customers, employees and business itself continues to suffer from ‘Data Quality Blues’.

The one technology in recent years that has managed to captivate the business users in organizations across the globe is undoubtedly – Dashboards.  Dashboards speak to them in a language which they are familiar with, the language of graphs, charts and metrics.  The BI Dashboard serves as an abstraction layer that shields the business users from the intricate and unwelcoming world of the ‘Data Churners’.  It is this instrument therefore, that should be leveraged to enlighten the management of financial losses that are incurred due to a seemingly trivial typo error or a misplaced digit in the sales figures.  Although this may not be the panacea one is looking for, creating a real-time dashboard which attaches a price tag to every data quality issue and extrapolates the figures to demonstrate their long term impact, may just act like a sip of coffee that will stimulate their business senses.

 Here’s an example of a Data Quality Dashboard

 This dashboard was the outcome of the convergence of three technologies: BO Data Quality,  InfoBurst 2009,  and Xcelsius.  Bundling a DQ dashboard with DQ Services benefits in the following ways: 

  • Getting the initial buy in from the senior management
  • Understanding the DQ issues that are creating havoc
  • Tracking the performance of the DQ initiative itself
  • Displaying the relevant financial metrics to answer the ROI question
.
Photo Credit: Sieve photo in this post from Wikimedia

Xcelsius Dashboard Maintenance – Best Practices – Using Labels in Excel

By
Roxanne
Published: April 16, 2010Posted in: XcelsiusTags: , , ,

In this post I will share with you a sample of what I consider to be one of many “best practices” to help in the ongoing maintenance of Xcelsius dashboards; Using labels in your Excel Spreadheet.  Some of the content in this post is extracted from the Excel for Xcelsius course offered by InfoSol. 

 Whether you find yourself having to update one of your own dashboards after a period of time of not working on it, or having to hand off the maintenance of the dashboard to a colleague, the initial effort of good documentation will save valuable hours and ensure continuity and success.  In this post some of the graphics will speak for themselves – you know the cliche of ‘a picture paints a thousand words’. 

The graphics show examples of: 

  • good labeling,
  • use of color to enhance visual cues
  • and the use of comments within Excel. 

Use of Color and Labeling

Below are samples of Excel spreadsheets that incorporates the use of visual cues like color coding with simple, clear and easy to follow labels showing where components derive their inputs.

Using Excel Comments

Another helpful option is to use the built in Excel feature of Inserting a Comment.  This leaves a small red triangle in the top right corner of a cell to indicate that a comment has been added to that cell. When the mouse hovers over the cell, the comment pops up. 

 

Helpful tips can be included within the comment.

Comments can be added to any cell by right-clicking on a cell and selecting “Insert Comment”.  Once a comment has been added to a cell, the small red triangle will appear.  A comment can be edited or deleted by right-clicking on the cell.

Using a Legend

There are many ways to document your Xcelsius Dashboard Excel Spreadsheet. 

I would love to hear about your “Best Practices”.

There is an Xcelsius Bootcamp being offered in Track 4 of this year’s IBIS 2010 event June 6-9 - Seeing Beyond Business Intelligence. 

Comparing Xcelsius Connectivity Choices

By
Roxanne
Published: February 5, 2010Posted in: Business Intelligence, InfoBurst, InfoBurst-XDS, Xcelsius, XDMTags: , , , , , , , , , , ,
Comparing Xcelsius Connectivity Choices

As more people deploy Xcelsius dashboard solutions, Xcelsius connectivity options has become a hot topic and I am often asked to compare the most popular methods used by BusinessObjects customers which are Query as a Web Service (QaaWS), Live Office and InfoBurst-XDS (or XDM for non-BOE deployments).

This is a brief summary of the differences between these 3 options which may be helpful.

QaaWS is a BusinessObjects web service that access BusinessObjects universes (and only universes) to pull back data.  Each time a dashboard is opened and selections are made, a real-time query is launched against production data, which, depending on the amount of data requested, can take many long seconds or minutes.  I have not found it to be very effective, and the few companies that do use it, have highly summarized tables in their data warehouse to use for this purpose (i.e. lots of preparation work).  The only upside I see to this method is that security is already in place based on BO user ids, and, real-time data retrieval (if that is the requirement). Large amounts of data (i.e., more than 500 rows of data) returned by the web service will significantly slow down the performance of the dashboard.

With Live Office you can access Web Intelligence or Crystal reports as your data source and use the functionality of these reporting tools to summarize, crosstab and format your data.  The advantage is that you can schedule these reports to refresh in BO (InfoView) and then use the latest instance of that report for your Xcelsius data source, without waiting for it to refresh.  The disadvantage is that it requires users to log into BusinessObjects every time they access the dashboard.  (Supposedly you can use single-sign-on with this, but I have not seen it working anywhere).  Obviously, if you want to deploy this solution outside of BusinessObjects, like hosting the SWF file on SharePoint or an Intranet, most companies do not like having to sign on again.  Also, it would not work if you want to deploy outside the network (outside a firewall).  There have been many posts on the forums about the “flakiness” of LiveOffice, often losing connections and unable to refresh reports.  Since Live Office has to hold the data in the Xcelsius spreadsheet, the amount of data returned will have a negative impact on dashboard performance.  This last item has been the biggest barrier to our customers, who often wish to show granular data in their dashboards, or a significant amount of historical data.

InfoBurst XDS and XDM were designed to overcome these obstacles.  XDS can use Web Intelligence or Desktop Intelligence reports as data sources for pulling data, which it can refresh overnight (based on a schedule) and convert this data to xml.  XML is the fastest way to load data into Xcelsius.  XDS does not require a BusinessObjects login.  XDS also has the option of accessing a database directly (any database that can be accessed via an ODBC connection) through SQL queries, which can also be scheduled and converted to XML.  XDS also provides options for distributing the dashboard (putting on a network share, an intranet site, or as an email attachment or embedded in an in-line html email).  The biggest advantage, though, is the Intelligent Cache feature which allows dashboard developers to “cache” a very large set of data (I am currently working on a data set of over 18,000 rows of data), and then pass parameters through the xml code, based on selections the user makes on the dashboard, which then returns the small data set needed for that particular chart.  (On the above example I am passing parameters, based on drop-down menus, for Division, Plant, Department, Day and Shift, which returns the 6 rows of data I need to display – shift hours per day per Department.)  Since the dashboard is only loading these 6 rows of data, obviously the performance is very fast.    We recently converted a QaaWS dashboard where the data loading time when changing customers went from 2 minutes or so to less than 10 seconds, using Intelligent Cache filtering.

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