Monthly Archives: March 2011

Channel Happy Hour!

I just recently had a great discussion with Mike Vizard and Brett Martin, two long-time industry veterans, who host the Channel Happy Hour!  We had a very engaging discussion for almost an hour that covered everything from Smarter Planet to analystics, to cloud computing, service management and SOA, partner strategies, Smarter Commerce, key skills for IT professionals for the next decade, and even a bit of advice on restraurants!

Be sure to check it out on their site and download the podcast from itunes – and let us know what you think!

IBM & Sky IT deliver SmarterRetail solution for Bernard Chaus giving consolidated view of what’s selling and why

Imagine if you could spot marketplace trends and understand customer preferences as they were happening?
Bernard Chaus Inc. significantly boosts sales, reduces costs and gains business agility with real-time visibility into sales.

What was the situation?
Despite being a seasoned leader in the fashion industry, Bernard Chaus had little knowledge of which, where and how much of its products had sold until four to five weeks into a season. By then, it was almost too late to take corrective action. Without more timely and accurate insight into sales, management struggled to react quickly and make informed decisions. As a result, the company was often forced to absorb mark-downs, forfeit prime real estate on selling floors and lose sales.

What makes it smarter?
In the fast-paced fashion industry, companies that know exactly which of their products have sold gain insight into marketplace trends and customer preferences—a true competitive advantage. Bernard Chaus not only gained real-time visibility into its sales but also saved 20 percent to 30 percent in costs related to returns, lost sales and mark-down expenses with its new business intelligence (BI) solution. Now the company has a current, accurate and comprehensive view into which products have sold by date, chain, store, size, brand, color, demographic and geography. Management can react more quickly to trends, capitalize on market opportunities and make better decisions about production and inventory, leading to improved operations and decreased costs.

By using SKYPAD, a unique Cloud Computing solution from Sky IT Group and IBM,  Bernard Chaus, Inc. has achieved the impossible – the ability to track which clothing items are selling – and which are not – at the retailer level on a day-to-day basis. This unique insight is achieved by merging information from retail outlets around the world augmented by Chaus Enterprise Resource Planning (ERP) data. Chaus can quickly make predictive decisions to help customers drive sales, cut markdowns and realize cost savings.

What were the real business results?

  • Dramatically improved sell-through (actual items sold), saving up to 30 percent in costs related to returns, lost sales and mark-down expenses
  • Improved ability to react more quickly to sales trends, customer preferences and marketplace opportunities
  • Increased efficiencies and collaboration across the sales, design, merchandising and production departments with a single, integrated view of data

See the full story here

What if you could spot marketplace trends and understand customer preferences as they were happening?
Bernard Chaus Inc. significantly boosts sales, reduces costs and gains business agility with real-time visibility into sales. 

What was the situation?
Despite being a seasoned leader in the fashion industry, Bernard Chaus had little knowledge of which, where and how much of its products had sold until four to five weeks into a season. By then, it was almost too late to take corrective action. Without more timely and accurate insight into sales, management struggled to react quickly and make informed decisions. As a result, the company was often forced to absorb mark-downs, forfeit prime real estate on selling floors and lose sales.

What makes it smarter?
In the fast-paced fashion industry, companies that know exactly which of their products have sold gain insight into marketplace trends and customer preferences—a true competitive advantage. Bernard Chaus not only gained real-time visibility into its sales but also saved 20 percent to 30 percent in costs related to returns, lost sales and mark-down expenses with its new business intelligence (BI) solution. Now the company has a current, accurate and comprehensive view into which products have sold by date, chain, store, size, brand, color, demographic and geography. Management can react more quickly to trends, capitalize on market opportunities and make better decisions about production and inventory, leading to improved operations and decreased costs.

What were the real business results?
Dramatically improved sell-through (actual items sold), saving up to 30 percent in costs related to returns, lost sales and mark-down expenses
Improved ability to react more quickly to sales trends, customer preferences and marketplace opportunities
Increased efficiencies and collaboration across the sales, design, merchandising and production departments with a single, integrated view of data

See the full story here:
http://www-01.ibm.com/software/success/cssdb.nsf/CS/SCHA-8EY3L6?OpenDocument&Site=corp&cty=en_us

Memphis Police: Using Analytics to Fight Crime Before it Happens! A Solution from IBM and ESRI

The #1 question I am asked whenever I’m traveling for IBM is this – we love the Smarter Planet strategy from IBM, so can you give us some more examples of clients and partners that are getting smarter?

So going forward I’m going to make a much stronger effort to publish here on my blog the many, many examples I see every day all around the world.

Today’s is from the USA – good ole Memphis, TN – the country music capital of the world!

Memphis Police: Using Analytics to Fight Crime Before it Happens!

A Solution from IBM and ESRI

By following crime trends, Memphis Police can address, and event prevent, new ones.

What if you could better protect the public by stopping crime before it happens?
The Memphis Police Department gains unprecedented insight into where unlawful activity is most likely to occur, gaining a strategic advantage and transforming it ability to catch and convict criminals.

What was the situation?
In the city Memphis, violent crime was increasing at a rate of 2.5 percent, citizens were growing concerned and the police department faced frozen or shrinking budgets. Not only were resources stretched thin, but officers also spent hours in the office searching for crime-related information buried in spreadsheets and paper files. Without a more innovative way to increase the overall effectiveness of the department, officials struggled to predict, track, and respond swiftly to unfolding crime, and optimize limited resources and funds.

What makes it smarter?
If you are criminal, Memphis is not the place to be. This forward-thinking police department dramatically decreased criminal activity and increased conviction rates when it implemented an analytics solution with predictive modeling capabilities provided by IBM and our partner ESRI.  Now the department has unparalleled insight and visibility into criminal activity and crime trends as they are happening. Police have gained a huge advantage; specifically, the ability to identify and predict future crime hot spots. As such, the department can change tactics and redirect patrol resources as needed, to prevent crimes before they happen and catch more criminals in the act. For example, by identifying an increase in burglaries in a particular neighborhood, the department can—on short notice—dispatch officers to that area, on a particular day, at specific times. The solution also helps the department identify factors that may contribute to future crimes, such as abandoned housing.

What are the real business results?

  • Reduced serious crime by 30 percent
  • Reduced violent crime by 15 percent
  • Increased conviction rates fourfold, from 16 percent to nearly 70 percent
  • Realized 863 percent return on investment paid back in 2.7 months, with an average annual benefit of USD7,205,501

See the full story here