Monthly Archives: April 2014

A New Gold Rush Is On. Who Will Strike It Rich?

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Original article by Michael Dell of Dell 

Data is arguably the most important natural resource of this century. Top thinkers are no longer the people who can tell you what happened in the past, but those who can predict the future. Welcome to the Data Economy, which holds the promise for significantly advancing society and economic growth on a global scale.

Big data is big news just about everywhere you go these days. Here in Texas, everything’s big, so we just call it data. But we’re all talking about the same thing—the universe of structured data, like transactional information in databases, and also the unstructured data, like social media, that exists in its natural form in the real world.

Organizations of all sizes are trying to figure out how to use all of this data to deliver a better customer experience and build new business models. Consumers are struggling to balance a desire for automated, personalized services with the need for safety. Governments are pressured to use all available data in support of national security, but not at the expense of citizens’ right to privacy. And underlying it all is the realization that data, if managed, secured and leveraged properly, is the pathway to progress and economic success.

So who will strike it rich in this new, data-driven gold rush? It will invariably be those who are willing to accept the new realities of the Data Economy. Business instincts and intuition are being augmented and increasingly replaced by data analysis as the drivers of success. We’ve seen it at Dell. Our marketing team uncovered more than $310 million in additional revenue last year through the use of advanced analytics. This year, we expect that number to exceed half-a-billion.

We believe that’s just the tip of the iceberg, and we’re accelerating our strategy. Recently we announced the acquisition of StatSoft, a leading provider of data mining, predictive analytics and data visualization solutions. It is yet another investment in our enterprise solutions, software and services portfolio specifically designed to help our customers turn data into action.

But contrary to popular opinion, the data economy isn’t just for global enterprises like Dell. A Dell-commissioned study that we will announce later this month found that mid-market companies are increasingly investing in data projects to drive better decision making and better business results. We have also found that startups that use technology more effectively create twice as many jobs on average and are more productive and profitable than companies that don’t.

At their core, entrepreneurs are all about solving problems, and nothing provides a better window into problems than data. Consider the popularity of Global Positioning System (GPS) technologies. The simple act of connecting to and delivering data paved the way for many successful businesses that in turn created an entirely new segment of the economy.

The day is near when the use of data analytics will simply become the price of remaining viable and competitive in the global marketplace. There is still a lot of uncertainty about the Data Economy, but this much is clear: the opportunity for data-driven organizations is golden.

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STATISTICA | Video Tutorials

fp-banners-dnn-resource-libraryNo need to feel lost getting started with STATISTICA! We’ve got you covered with our popular videos on text mining, data mining, and all things analytic

How to Show Grouping in Scatterplots

STATISTICA how-to logoA scatterplot shows the relationship between continuous variables. Applying a grouping factor adds yet another dimension that can greatly enhance a plot’s usefulness.
This article explores two ways of showing a grouping variable in a scatterplot. The difference between the two methods is the fit line. One method uses one fit for all levels of a grouping factor, but shows the levels with point marker colors and patterns. The other method fits separate lines for each group.
The data set used in this example, Irisdat.sta, contains measurements for various parts of the flower for three different varieties of iris. To open the data set, select the Home tab and in the File group, click the Open arrow. From the menu, select Open Examples to display the Open a STATISTICA Data File dialog box. Double-click the Datasets folder, and then open Irisdat.sta.
One Fit Line for All Groups
Select the Graphs tab. In the Common group, click Scatterplot to display the 2D Scatterplots Startup Panel. Click the Variables button to display the Select Variables for Scatterplots dialog box, and select SEPALLEN as X and SEPALWID as Y.
STATISTICA - Select variables for Scatterplot
Click the OK button.
On the Advanced tab of the 2D Scatterplots Startup Panel,
STATISTICA - 2D Scatterplot startup panel
click the Mark Selected Subsets button. The Specify Multiple Subsets dialog box will be displayed. Create the three subsets for the grouping factor, IRISTYPE, as shown in the next image.
STATISTICA - Specify multiple subsets dialog
Click OK in the Specify Multiple Subsets dialog box, and click OK in the 2D Scatterplots Startup Panel.
The resulting graph is a scatterplot that contains one fit line for all points, but distinguishes points by the grouping variable IRISTYPE with colors and point markers.
STATISTICA - Scatterplot with one fit line for all points
Separate Fit Lines for Groups
Alternatively, it may be appropriate to use separate fit lines for the three groups. To do this, create a categorized graph.
Start a new 2D Scatterplots analysis, and select variables as before.
Now, in the 2D Scatterplots Startup Panel, select the Categorized tab. In the X-Categories group box, select the On check box. The options will become active. Click the Change Variable button to display the Select Categorization Variable dialog box. Select IRISTYPE.
STATISTICA - Select Categorization Variable dialog
Click OK to close this dialog box and return to the 2D Scatterplots Startup Panel.
The options Integer mode, Unique values, Categories, etc., give you flexibility with the grouping variable. A categorization variable does not have to be categorical in nature.
In the Layout group box, select the Overlaid option button.
STATISTICA - 2D Scatterplot startup panel again
Click OK to create the graph. Three separate fit lines are shown for the three categories in addition to the groups being designated by colors and point markers.
STATISTICA - Scatterplot with three separate fit lines - categorized
STATISTICA graphs offer extensive flexibility, which enables you to create the representation of the data that you need.

Upcoming STATISTICA Training

sectorsDear STATISTICA user/analyst/researcher,

 

Introduction to STATISTICA Training Workshop

Venue: Unit 22 Petervale Centre, Cor Cambridge & Frans Hals Rds, Petervale, Sandton 2191

 

22 & 23 APRIL 2014
DAY 1 DAY 2
8.30 for 9 a.m.

 

General Conventions:

  • User-interface
  • Customisation options
  • Creating reports, docs
  • Exercises & FAQ’s

 

Data Management:

  • Creating, modifying & saving data
  • Importing data
  • File structure manipulation
  • Exercises & FAQ’s

 

Statistics:

  • Overview of elementary concepts
  • Descriptive Statistics
  • T-Tests
  • Correlations
  • Frequency Tables
  • Cross Tabulations

 

 

4 p.m.

8.30 for 9 a.m.

 

Statistics Continued:

  • Exercises & FAQ’s

 

Graphs:

  • Overview of Graph types
  • Creating Graphs
  • Customising Graphs
  • Brushing Techniques
  • Curve-fitting
  • Exercises & FAQ’s

 

Automation:

  • Introduction to automating & customising
  • Exercises

 

Overview of Additional Add-on Modules & their Applications

 

Industry-specific Example Applications

 

Questions & Answer Session

 

4 p.m.

 

PRICING:   Academic Pricing R 4,000.00 VAT Excl per delegate

                        Commercial Pricing R 6,000.00 VAT Excl per delegate

INCLUDES

  • Free 30-Day Installation of STATISTICA on your laptops
  • Customised workshops using your own data (optional)
  • Training Material
  • Refreshments & lunches
  • Certificates

 

For more information or to register for this training please phone Lorraine Edel on 011 234 6148 or 082 5678 330 or mail lorraine@statsoft.co.za

 

Unit 2 Petervale Centre, cor Cambridge & Frans Hals Rds, Bryanston, Johannesburg, South Africa
Phone: +27-11-656-0395; Fax: +27-11-656-0396

e-mail: lorraine@statsoft.co.za

Web: http://www.statsoft.co.za