Author Archives: Teddy Nee

Supply Chain & Big Data ÷ Analytics = Innovation

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Google the term “advanced analytics” and you get back nearly 23 million results in less than a second.

Clearly, the use of advanced analytics is one of the hottest topics in the business press these days and is certainly top of mind among supply chain managers.

Yet, not everyone is in agreement as to just what the term means or how to deploy advanced analytics to maximum advantage.

At HP, the Strategic Planning and Modeling team has been utilizing advanced operational analytics for some 30 years to solve business problems requiring innovative approaches.

Over that time, the team has developed significant supply chain innovations such as postponement and award winning approaches to product design and product portfolio management.

Based on conversations we have with colleagues, business partners and customers at HP, three questions come up regularly – all of which this article will seek to address.

  1. What is the difference between advanced and commodity analytics?
  2. How do I drive innovation with advanced analytics?
  3. How do I set up an advanced analytics team and get started using it in my supply chain?

Advanced analytics vs. commodity analytics

So, what exactly is the difference between advanced analytics and commodity analytics? According to Bill Franks, author of “Taming The Big Data Tidal Wave,” the aim of commodity analytics is “to improve over where you’d end up without any model at all, a commodity modeling process stops when something good enough is found.”

Another definition of commodity analytics is “that which can be done with commonly available tools without any specialized knowledge of data analytics.”

The vast majority of what is being done in Excel spreadsheets throughout the analytics realm is commodity analytics.

Read more at Supply Chain & Big Data ÷ Analytics = Innovation

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What’s the Difference Between Business Intelligence (BI) and EPM?

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Business Intelligence Emerges From Decision Support

Although there were some earlier usages, business intelligence (BI) as it’s understood today evolved from the decision support systems (DSS) used in the 1960s through the mid-1980s. Then in 1989, Howard Dresner (a former Gartner analyst) proposed “business intelligence” as an umbrella term to describe “concepts and methods to improve business decision-making by using fact-based support systems.” In fact, Mr. Dresner is often referred to as the “father of BI.” (I’m still trying to identify and locate the “mother of BI” to get the full story.)

The more modern definition provided by Wikipedia describes BI as “a set of techniques and tools for the acquisition and transformation of raw data into meaningful and useful information for business analysis purposes.” To put it more plainly, BI is mainly a set of tools or a platform focused on information delivery and typically driven by the information technology (IT) department. The term “business intelligence” is still used today, although it’s often paired with the term “business analytics,” which I’ll talk about in a minute.

Along Came Enterprise Performance Management

In the early 1990s, the term “business performance management” started to emerge and was strongly associated with the balanced scorecard methodology. The IT industry more readily embraced the concept around 2003, and this eventually morphed into the term “enterprise performance management” (EPM), which according to Gartner “is the process of monitoring performance across the enterprise with the goal of improving business performance.” The term is often used synonymously with corporate performance management (CPM), business performance management (BPM), and financial performance management (FPM).

Read more at What’s the Difference Between Business Intelligence (BI) and EPM?

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Supply chain risk is a growing concern for the Pentagon

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As the reliance of The Defense Department and its major contractors on vast global supply chains to provide the systems and weapons the DOD needs to perform its mission increases, so too does the risk. These potential risks come in many forms: the financial failure of a critical supplier; a supplier in violation of labor or environmental standards; or foreign infiltration into critical systems. The government is pushing contractors to provide more information about their supply chains, and this analysis will walk you through the supply chain of DOD’s (and the federal government’s) largest contractor, Lockheed Martin Corp., and uses it as an example of how Bloomberg can help you identify and report on potential risk areas.

Critical Nodes

It is possible to identify 350 of Lockheed’s suppliers by using the supply chain function SPLC on the Bloomberg Professional Service. Bloomberg’s entire supply chain database contains more than 1 million customer/supplier relationships. The same data also shows that some of these companies are highly reliant on Lockheed as a customer. Quickstep Holdings Ltd., a manufacturer of composite materials based in Australia, receives an estimated 70 percent of its revenue from Lockheed. Any change in Lockheed’s fortunes could have downstream effects on highly dependent suppliers like Quickstep.

For the Pentagon, Honeywell International Inc. is a much more critical supplier than Quickstep. Honeywell is a top 10 supplier to Lockheed as well as the other big five defense contractors: Boeing Co., General Dynamics Corp., Northrop Grumman, and Raytheon Co. Many defense programs could be disrupted, and alternative products and suppliers might be difficult to find if Honeywell’s goods and services were suddenly compromised.

Read more at Supply chain risk is a growing concern for the Pentagon

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How IoT logistics will revolutionize supply chain management

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As with many other areas of the economy, the digital revolution is having a profound effect on delivery logistics.

The combination of mobile computing, analytics, and cloud services, all of which are fueled by the Internet of Things (IoT), is changing how delivery and fulfillment companies are conducting their operations.

One of the most popular methods for fulfilling deliveries today is through third-party logistics, which involves any company that provides outsourced services to move products and resources from one area to another. Third-party logistics, or 3PL, can be one service, such as transportation or a warehouse, or an entire system that maintains the whole supply chain.

But the IoT is going to change how this process operates. Below, we’ve outlined the impact of IoT on supply chain, and how IoT management will transform inventory, logistics, and more.

Internet of Things Supply Chain Management

One of the biggest trends poised to upend supply chain management is asset tracking, which gives companies a way to totally overhaul their supply chain and logistics operations by giving them the tools to make better decisions and save time and money. Delivery company DHL and tech giant Cisco estimated in 2015 that IoT technologies such as asset tracking solutions could have an impact of more than $1.9 trillion in the supply chain and logistics sector.

And this transformation is already underway. A recent survey by GT Nexus and Capgemini found that 70% of retail and manufacturing companies have already started a digital transformation project in their supply chain and logistics operations.

Asset tracking is not new by any means. Freight and shipping companies have used barcode scanners to track and manage their inventory. But new developments are making these scanners obsolete, as they can only collect data on broad types of items, rather than the location or condition of specific items. Newer asset tracking solutions (which we’ll get into shortly in the next section) offer much more vital and usable data, especially when paired with other IoT technologies.

Read more at How IoT logistics will revolutionize supply chain management

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SenseAware is FedEx’s Internet of Things Response to Supply Chain Optimization

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Supply chain visibility is critical to a company’s operational performance improvement, according to 63% of 149 responding companies in a survey conducted by Aberdeen Group.

“Visibility is a prerequisite to supply chain agility and responsiveness,” the report states.

And it requires tracking the location of a shipment not only at the transportation level, but also at a unit and item level.

Location tracking is good protection against shipment theft or loss, but companies need a deeper level of visibility for their products, according to FedEx.

The company’s solution? The IoT-inspired SenseAware, a sensor-based logistics solution.

SBL uses sensors to detect the shipment’s environmental conditions while warehoused or in transit and sends the data – via wireless communication devices – to a management software system where the data is collected, displayed, analyzed and stored.

It is “the basis of a powerful new central nervous system for the global supply chain,” according to FedEx.

The device is meant to provide intelligence that can help enterprises coordinate and manage product, information and financial flows.

Read more at SenseAware is FedEx’s Internet of Things Response to Supply Chain Optimization

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Why Supply Chains Need Business Intelligence

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Companies that want to effectively manage their supply chain must invest in business intelligence (BI) software, according to a recent Aberdeen Group survey of supply chain professionals. Survey respondents reported the main issues that drive BI initiatives include increased global operations complexity; lack of visibility into the supply chain; a need to improve top-line revenue; and increased exposure to risk in the supply chain. Fluctuating fuel costs, import/export restrictions and challenges, and thin profit margins are driving the need for businesses to clearly understand all the factors that affect their bottom line.

Business Intelligence essentially means converting the sea of data into knowledge for effective business use. Organizations have huge operational data that can be used for trend analysis and business strategies. To operate more efficiently, increase revenues, and foster collaboration among trading partners companies should implement BI software that illuminates the meaning behind the data.

There is a vast amount of data to collect and track within a supply chain, such as transportation costs, repair costs, key performance indicators on suppliers and carriers, and maintenance trends. Being able to drill down into this information to perform analysis and observe historical trends gives companies the game-changing information they need to transform their business.

Read more at Why Supply Chains Need Business Intelligence

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How Big Data and CRM are Shaping Modern Marketing

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Big Data is the term for massive data sets that can be mined with analytics software to produce information about your potential customers’ habits, preferences, likes and dislikes, needs and wants.

This knowledge allows you to predict the types of marketing, advertising and customer service to extend to them to produce the most sales, satisfaction and loyalty.

Skilled use of Big Data produces a larger clientele, and that is a good thing. However, having more customers means you must also have an effective means of keeping track of them, managing your contacts and appointments with them and providing them with care and service that has a personal feel to it rather than making them feel like a “number.”

That’s where CRM software becomes an essential tool for profiting from growth in your base of customers and potential customers. Good CRM software does exactly what the name implies – offers outstanding Customer Relationship Management with the goal of fattening your bottom line.

With that brief primer behind us, let’s look at five ways that the integration of Big Data and CRM is shaping today’s marketing campaigns.

Read more at How Big Data and CRM are Shaping Modern Marketing

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Merchants scramble as shipper goes bankrupt

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Major retailers are scrambling to work out contingency plans to get their merchandise to stores as the bankruptcy of the Hanjin shipping line has thrown the retail supply chains around the world into confusion.

Hanjin, the world’s seventh-largest container shipper, filed for bankruptcy protection Wednesday and stopped accepting cargo. With its assets frozen, ships from China to Canada were refused permission to load or unload containers because there were no guarantees that tugboat pilots or stevedores would be paid. It’s also been a factor in shipping rates rising and could hurt trucking firms with contracts to pick up goods.

While some retailers’ holiday merchandise has probably been affected, experts say what’s most important is that the issue be resolved before the critical shipping month of October.

Degree of uncertainty

“Retailers always have robust contingency plans, but this degree of uncertainty is making it challenging to put those plans in place,” said Jessica Dankert, senior director of retail operations for the Retail Industry Leaders Association, a trade alliance with members including Best Buy, Wal-Mart and Target.

Plano-based J.C. Penney said Hanjin is one of several ocean freight carriers it uses and when it learned there might be a problem it began to divert and reroute its containers. It said it uses “a variety of transportation methods and ports” and does not expect a significant effect on the flow of merchandise.

Target Corp. said it is watching the situation closely, and Wal-Mart said it is waiting for details about Hanjin’s bankruptcy proceedings and the implications to its merchandise before it can assess the effect.

As of Friday, 27 ships had been refused entry to ports or terminals, said Hanjin spokesman Park Min. The company said one ship in Singapore had been seized by the ship’s owner.

Read more at Merchants scramble as shipper goes bankrupt

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Overcoming 5 Major Supply Chain Challenges with Big Data Analytics

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Big data analytics can help increase visibility and provide deeper insights into the supply chain. Leveraging big data, supply chain organizations can improve the way they respond to volatile demand or supply chain risk–and reduce concerns related to the issues.

Sixty-four percent of supply chain executives consider big data analytics a disruptive and important technology, setting the foundation for long-term change management in their organizations (Source: SCM World). Ninety-seven percent of supply chain executives report having an understanding of how big data analytics can benefit their supply chain. But, only 17 percent report having already implemented analytics in one or more supply chain functions (Source: Accenture).

Even if your organization is among the 83 percent who have yet to leverage big data analytics for supply chain management, you’re probably at least aware that mastering big data analytics will be a key enabler for supply chain and procurement executives in the years to come.

Big data enables you to quickly model massive volumes of structured and unstructured data from multiple sources. For supply chain management, this can help increase visibility and provide deeper insights into the entire supply chain. Leveraging big data, your supply chain organizations can improve your response to volatile demand or supply chain risk, for example, and reduce the concerns related to the issue at hand. It will also be crucial for you to evolve your role from transactional facilitator to trusted business advisor.

Read more at Overcoming 5 Major Supply Chain Challenges with Big Data Analytics

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Top 25 Risk Factors for Manufacturing Supply Chains

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According to a recent report from BDO USA, an accounting and consulting organization, manufacturers’ intellectual property, supply chain data and products have become prime targets for cyber criminals.

The 2016 BDO Manufacturing RiskFactor Report examines the risk factors in the most recent 10-K filings of the largest 100 publicly traded U.S. manufacturers across five sectors including fabricated metal, food processing, machinery, plastics and rubber, and transportation equipment.

The factors were analyzed and ranked by order of frequency cited.

Manufacturing Industry Serves Up New Risks

The manufacturing industry is getting mixed reviews.

The Institute for Supply Management (ISM) Index reported that activity was up in April after five straight months of declines.

Then, in late May, the Purchasing Manager’s Index reported the first reduction in output since September 2009.

In the trenches, manufacturers say domestic demand has been solid, while global business has been more challenging. And the end customer matters: in a recent earnings call, Caterpillar’s CEO noted, “Just about any market that’s away from oil is doing pretty good.”

“Pretty good” is a modest but realistic goal for manufacturers this year, and their top concerns echo this cautious optimism. The annual analysis of the most frequently cited risk factors found the supply chain remains at the top of the list – cited by 100 percent of manufacturers we analyzed – while emerging and growing risks in cybersecurity, competition, labor, pricing, regulations and international operations are also keeping manufacturers up at night.

Read more at Top 25 Risk Factors for Manufacturing Supply Chains

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