Power View in Excel 2013

I doubt that Microsoft is paying attention to my blog, but recently they declared that Power View now has 2 versions: one  for SharePoint (thanks, but no thanks) and one for Excel 2013. In other words, Microsoft decided to have own Desktop Visualization tool. In combination with PowerPivot and SQL Server 2012 it can be attractive for some Microsoft-oriented users but I doubt it can compete with Data Visualization Leaders – too late.

Most interesting is the note about Power View 2013 on Microsoft site: “Power View reports in SharePoint are RDLX files. In Excel, Power View sheets are part of an Excel XLSX workbook. You can’t open a Power View RDLX file in Excel, and vice versa. You also can’t copy charts or other visualizations from the RDLX file into the Excel workbook.“

But most amazing is that Microsoft decided to use the dead Silverlight for Powerview: “Both versions of Power View need Silverlight installed on the machine.” And we know that Microsoft switched to HTML5 from Silverlight and no new development planned for Silverlight! Good luck with that…

And yes, you can add now maps (Bing of course), see it here:

 

Excel as a BI Platform – Part 3

Below is a Part 3 of the Guest Post by my guest blogger Dr. Kadakal, (CEO of Pagos, Inc.). This article is about of how to build Dashboards and Data Visualizations with Excel. The topic is large, and the first portion of article (published on this blog 3 weeks ago) contains the the general Introduction and the Part 1 “Use of Excel as a BI Platform Today“.  The Part 2 – “Dos and Don’ts of building dashboards in Excel“ published 2 weeks ago  and Part 3 – “Publishing Excel dashboards to the Internet“ is started below and its full text is here.

As I said many times, BI is just a marketing umbrella for multiple products and technologies and Data Visualization became recently as one of the most important among those. Data Visualization (DV) so far is a very focused technology and article below shows how to publish Excel Data Visualizations and Dashboards on Web. Actually a few Vendors providing tools to publish Excel-based Dashboards on Web, including Microsoft, Google, Zoho, Pagos and 4+ other vendors:

• www.securesheet.com
• www.spreadsheetconverter.com
• www.jedox.com
• www.bonavistasystems.com
• plus of course Microsoft, Google, Zoho and Pagos (SpreadsheetWEB)

I leave to the reader to decide if other vendors can compete in business of publishing Excel-based Dashbaords on Web, but the author of the artcile below provides a very good 3 criterias of how to select the vendor, tool and technology for it (and when I used it myself it left me only with 2 choices – the same as described in article).

Author: Ugur Kadakal, Ph.D., CEO and founder of Pagos, Inc. 

Publishing of Excel Dashboards on the Internet

Introduction

In previous article (see “Excel as BI Platform” here) I discussed Excel’s use as a Business Intelligence platform and why it is exceedingly popular software among business users. In 2nd article (“Dos&Don’ts of Building Successful Dashboards in Excel“) I talked about some of the principles to follow when building a dashboard or a report in Excel. Together this is a discussion of why Excel is the most powerful self-service BI platform.

However, one of the most important facets of any BI platform is web enablement and collaboration. It is important for business users to be able to create their own dashboards but it is equally important for them to be able to distribute those dashboards securely over the web. In this article, I will discuss two technologies that enable business users to publish and distribute their Excel based dashboards over the web.

Selection Criteria

The following criteria were selected in order to compare the products:

1. Ability to convert a workbook with most Excel-supported features into a web based application with little to no programming.
2. Dashboard management, security and access control capabilities that can be handled by business users.
3. On-premise, server-based deployment options.

Criteria #3 eliminates online spreadsheet products such as Google Docs or Zoho. As much as I support cloud based technologies, in order for a BI product to be successful it should have on-premise deployment options. Without on-premise you neglect the possibility of integration with other data sources within an organization.

There are other web based Excel conversion products on the market but none of them meet the criteria of supporting most Excel features relevant to BI; therefore, they were not included in this article about how to publish Excel Dashboard on Web .

 

Excel as a BI Platform – Part 2

Below is a Part 2 of the Guest Post by my guest blogger Dr. Kadakal, (CEO of Pagos, Inc.). This article is about of how to build Dashboards and Data Visualizations with Excel. The topic is large, and the first portion of article (published on this blog last week) contains the the general Introduction and the Part 1 “Use of Excel as a BI Platform Today“.

The Part 2 – “Dos and Don’ts of building dashboards in Excel“ is below and Part 3 – “Publishing Excel dashboards to the Internet“ is coming soon. It is easy to fall into a trap with Excel, but if  you avoid those risks as described in article below, Excel can become of one of the valuable BI and Data Visualization (DV) tool for user. Dr. Kadakal said to me recently: “if the user doesn’t know what he is doing he may end up spending lots of time maintaining the file or create unnecessary calculation errors”. So we (Dr. Kadakal and me) hope that article below can save time for visitors of this blog.

BI in my mind is a marketing umbrella for multiple products and technologies, including RDBMS, Data Collection, ETL, DW, Reporting, Multidimensional Cubes, OLAP, Columnar and in-Memory Databases, Predictive and Visual Analytics, Modeling and DV.

Data Visualization (aka DV), on other hand, is a technology, which enabling people to explore, drill-down, visually analyze their data and visually search for data patterns, like trends, clusters, outliers, etc. So BI is marketing super-abused term, while DV so far is focused technology and article below shows how to use Excel as a great Dashboard builder and Data Visualization tool.

Dos&Don’ts of Building Successful Dashboards in Excel

Introduction (click to see the full article here)

In previous week’s post (see also article “Excel as BI Platform” here) I discussed Excel’s use as a Business Intelligence platform and why it is exceedingly popular software among business users. In this article I will talk about some of the principles to follow when building a dashboard or a report in Excel.

One of the greatest advantages of Excel is its flexibility: it puts little or no constraints on the user’s ability to create their ideal dashboard environments. As a result, Excel is being used as a platform for solving practically any business challenge. You will find individuals using Excel to solve a number of business-specific challenges in practically any organization or industry. This makes Excel the ultimate business software.

On the other hand, this same flexibility can lead to errors and long term maintenance issues if not handled properly. There are no constraints on data separation, business logic or the creation of a user interface. Inexperienced users tend to build their Excel files by mixing them up. When these facets of a spreadsheet are not properly separated, it becomes much harder to maintain those workbooks and they become prone to errors.

In this article, I will discuss how you can build successful dashboards and reports by separating data, calculations and the user interface. The rest of this post you can find in this article

 “Dos and Don’ts of building dashboards in Excel” here.

It discusses how to prepare Data (both static and external) for dashboards, how to build formulas and calculation models, UI and Input Controls for Dashboards and of course – Pivots,Charts, Sparklines and Conditional Formatting for innovative and powerful Data Visualizations in Excel.

 

Excel as a Business Intelligence Platform – Part 1

This is a Part 1 of surprise Guest post. My guest is Ugur Kadakal, Ph.D., he is the CEO and founder of Pagos, Inc., which he started almost 10 years ago.

Dr. Kadakal is an expert in Excel, Business Intelligence, Data Analytics and Data Visualization. His comprehensive knowledge of Excel, along with his ambitious inventions and ideas, supply the foundation for all Pagos products, which include SpreadsheetWEB (which converts Excel spreadsheets into web applications), SpreasheetLIVE  (a fully-featured, browser-based spreadsheet application environment) and Pagos Spreadsheet Component (which integrates Excel spreadsheets into enterprise web applications).

Pagos started and hosted the largest free collection and repository of professional templates of Excel spreadsheets on the web: http://spreadsheetzone.com . 3 Excel-based Dashboard below can be found on this very popular repository and done by Dr. Kadakal:

Dashboard 1 : Human Resources Dashboard: http://spreadsheetzone.com/templateview.aspx?i=498

Dashboard 2 : Business Activity Dashboard in EuroZone: http://spreadsheetzone.com/templateview.aspx?i=490

Dashboard 3 : Energy Dashboard for Euro Zone: http://spreadsheetzone.com/templateview.aspx?i=491

The topic is large, so this Guest article is splitted on 3 blog posts. The first portion of article contains the Introduction and Part 1 “Use of Excel as a BI Platform Today“, then I expect Dr. Kadakal will do at least 2 more posts: Part 2 – “Dos and Don’ts of building dashboards in Excel“, Part 3 – “Moving Excel dashboards to the Web“.

Introduction

Electronic spreadsheets were one of the very first Business Intelligence (BI) software. While the availability of spreadsheet software and it use as a tool for data analysis dates back to the 1960s, its application in the BI field began with the integration of OLAP and pivot tables. In 1991, Lotus released Improve, followed by Microsoft’s release of PivotTable in 1993. However, Essbase was the first scalable OLAP software to handle large data sets that the early spreadsheet software was incapable of. This is where its name comes from: Extended Spread Sheet Database.

There is no doubt that Microsoft Excel is the most commonly used software for BI purposes. While Excel is general business software, its flexibility and ease of use makes it popular for data analysis with millions of users worldwide. Excel has an install base of hundreds of millions of desktops: far more than any other BI platform. It has become a household name. From educational utilization to domestic applications and enterprise implementation, Excel has been proven incredibly indispensable. Most people with commercial or corporate backgrounds have developed a proficient Excel skillset. This makes Excel the ultimate self-service BI platform. However, like all systems, Excel has some weaknesses that make it difficult to use as a BI tool under certain conditions.

Use of Excel as a BI Platform Today

Small Businesses

Traditionally, small businesses are not considered as an important market segment by most BI vendors. Their data analysis and reporting needs are limited primarily due to their smaller commercial volumes. However, this is changing quickly as smaller organizations begin to collect large amounts of data, thanks to the Internet and social media, and require tools to manage that data. However, what is not changing is the limited financial resources available to them. Small businesses cannot spare to spend large amounts of money on BI software or consultants to aid them in the creation of the applications. That’s why Excel is the ideal platform for them and will most probably remain that way for a foreseeable future. The reasons are clear: (1) most of them already have Excel licenses, (2) most of their users know how to use Excel and (3) their needs are simpler and can be met with Excel.

Mid-Range Businesses

Mid-range businesses are a quickly growing market segment for BI vendors. Traditionally, Excel as a BI platform has been more popular among these businesses. Cost and availability are the primary factors in this. However, two aspects have been steering them to searching for alternatives: (1) Excel can no longer handle their growing data volumes and (2) other BI vendors started offering cost-effective alternatives.

As a result, Excel’s market share in this field is in decline although it still remains the most popular. On the other hand, with the release of Office 2010 and its extended capabilities for handling very large data sets, Excel stands a good chance at reversing this decline.

Large Enterprises

The situation with large enterprises is rather complex. Most of them already have large-scale a BI implementation in place. Those implementations often connect various databases and data warehouses within the organizations. They have made significant investments and continue doing so to expand and maintain their BI systems. They already have a number of dashboards and reports designed to serve their business units. However, business users always need new and different dashboards and reporting tools. The only software that gives them the ultimate flexibility in creating their own reports is Excel. As a result, even in large Enterprises, usage of Excel for BI purposes is common. Business users often go to their data warehouses or BI tools and get a data extract to bring into Excel. They can then prepare their analysis and build their reports in Excel.

Enterprises will continue using their existing platforms because they have made huge investments building those systems. However, Excel use by business users as their secondary BI and reporting tool will continue to rise unless the alternative vendors significantly improve their self-servicing capabilities.

Summary

Excel is one of the ultimate business platforms and offers unparalleled features and capabilities to non-programmers. This makes it an ideal self-service BI platform. In this article, we examined the use of Excel as a BI platform in companies of different sizes. In the next article of this series, we will discuss how to use Excel more efficiently as a BI platform, from handling data to calculations and visual interactions.