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August 16, 2006 |

RFID-Enabled Document: Use-full or Use-Not
From AIM Global/Bert Moore
Some of the measures being considered for "protecting" RFID-enabled documents make about as much sense as would removing the wheels from all motor vehicles to "protect" drivers from traffic accidents. While undoubtedly effective, one would have to wonder if it's the best approach.
Many of the current proposed restrictions on the use of RFID-enabled documents focus on what can be considered "old" arguments that have effectively been addressed.
For example, it was feared that the U.S. Passport, as designed in the original proposal, could be covertly read and the data duplicated or -- at the very least -- make U.S. citizens targets for terrorists. As a result, the proposal was modified to require two lines of OCR at the bottom of the passport to be read before the RFID chip can be read.
However, in the interim a foil lining was specified in the cover of the passport, greatly reducing the possibility of covert reading or "illumination" as an aid to terrorists. And yet the OCR requirement remains, based on the "old" problems.
Of course, it is vanity to assume that terrorists will prefer to target U.S. citizens. Recent events have shown that terrorists will target virtually anyone from any national, ethnic or religious background. The criteria for being a victim of terrorists is more a geographic than a political one -- in other words, a person simply has to be in the wrong place at the wrong time.
Those expressing concerns over the "security" of RFID-enabled documents understandably focus on all the potential negatives, no matter how far-fetched.
Maybe it's time to look at the positives to provide some balance.
First and foremost, RFID-enabled documents can make it far more difficult for counterfeiters. This point is often brushed aside by RFID critics as if counterfeit documents are not a significant concern. Other times, they insist that RFID-enabled documents are not really that hard to duplicate. Neither of these assertions is true.
Counterfeiting identity documents is big business and presents grave threats to Homeland Security and increases the likelihood that identity theft will be successful.
RFID chips come from the foundry with a unique, unchangeable number, a Tag ID (TID) that cannot be copied to another tag. In other words, a counterfeit RFID-enabled U.S. Passport, driver's license or pilot's license, for example, can not be created since the TID of the fake document will not match the one on record.
Secure, non-contact reading will also expedite whatever process the document is used for -- whether it's library check out, age verification, or identity verification -- speeding up the process for the document holder. At the same time, it will increase the security and accuracy of the process by allowing any inspector to focus on the individual rather than having to scrutinize the document for authenticity.
Are there circumstances where another machine-readable technology would work? Certainly. But when document authenticity and user convenience are the issues, then RFID-enabled documents are a logical and legitimate choice
as long as regulators don't attempt to "remove the wheels" from the process.
http://www.aimglobal.org/
Location Tracking in Your WiFi's Future?
From ARC Advisory Group/Chantal Polsonetti
Use of RFID for ROI-driven applications is of burgeoning interest to manufacturers as an increasing number of processes that can benefit from this technology are identified. Unlike the experience with complying with retailer supply chain mandates, however, manufacturers have more numerous technology options available to them versus the UHF passive RFID employed in supply chain applications. Low frequency, high frequency, passive, and active RFID technologies have all been deployed in various point solutions to date. Manufacturers interested specifically in location tracking applications now have another technology to consider: WiFi-based location tracking over standard IEEE 802.11-based networks.
Rapid time to benefit within the 12- to 18-month timeframe preferred by manufacturers is a primary driver behind keen interest in the WiFi solutions, particularly for asset tracking applications. Infrastructure provider Cisco sparked significant interest in the use of WiFi-based location tracking when it announced the 2700 Series Wireless Location Appliance, adding major supplier support and a standards-based infrastructure to the growing list of drivers behind this segment.
Location tracking providers are pursuing integration of their offerings with the Cisco appliance, now called the 2710. For example, the Cisco appliance natively supports the T2 wireless tracking tag from Aeroscout. In general, most WiFi providers are now making location tracking a feature of their wireless networks and establishing relationships with traditional location tracking solution providers such as Aeroscout and WhereNet as well as the new crop of WiFi-based providers such as Ekahau Newbury Networks, and PanGo.
One of the key assertions behind the push to add location tracking capabilities to existing wireless LANs is the contention that, in some industries, the wireless network infrastructure is already in place for data and Voice-over-IP (VoIP) applications. The argument here is that the location tracking capabilities can simply be overlaid on the existing infrastructure, leading to the fact that the core competencies of most of the new breed of WiFi-based location tracking solution providers lie in the realm of software platforms and location tracking algorithms rather than the physics of radio frequency. Wireless adoption for these multiple purposes has proceeded more rapidly in industries outside of manufacturing, such as healthcare, so consequently those industries where wireless networks are more pervasive are the early targets for many of these WiFi-based solutions. Manufacturing applications, and the large number of assets deployed, are certainly on the radar screen for most providers, however.
While the potential to overlay a location tracking solution on an existing wireless infrastructure is a key attribute for the WiFi-based tracking systems, in practice things are not always so straightforward. For example, in order to generate the X,Y,Z coordinates required by the triangulation algorithms used for location tracking, many users need to upgrade the number of wireless access points (WAPs) deployed. In some cases, the number of WAPs needs to be doubled in order to generate the three reads necessary for triangulation. This should be one of the issues that gives potential end users pause as to whether or not the accuracy of an X,Y,Z system is required for their application or if it can be more readily served by a traditional RFID installation. Also, in spite of the use of a standards-based infrastructure, tags from one supplier will not currently interoperate with those of another. WiFi-based tracking is also best suited for indoor applications, and the 2.45 GHz frequency does not perform well in environments with a significant amount of metal. Finally, the current generation of tags can be very pricey, ranging from $50 to $65 at list price for quantity one.
Introduction by G2 Microsystems of the G2C501 $12 System-on-a-Chip (SoC) for location, sensing, and tracking will address some of the price issues with WiFi tags (see New Chip Cold Transform Active RFID Market). This standards-based, low-power chip promises extended life for battery-powered WiFi tags, as well as a sensor interface that will allow OEMs to incorporate incremental sensing capabilities. Production quantities are expected to be available later this year, and a number of providers have already signed up to OEM the SoC (see Smaller, Cheaper Longer-Lasting RTLS Tags Hit Market).
http://www.rfidupdate.com/
Operational Business Intelligence and Performance Management: Key Differentiators
From Technology Evaluation/Lyndsay Wise
The key differentiators between business performance management (BPM) and operational business intelligence (OBI) are unclear. In the past few years, vendors have been moving away from traditional business intelligence (BI) to position themselves in one of two areas: either BPM or OBI. Although there are in fact differentiating factors, many vendor product offerings overlap in terms of features and functionality, making it difficult to distinguish between the two. In general, vendors in both camps market themselves in the same light. They promise a single view of organizational data; they say they deliver data almost instantaneously based on organizational need; and they provide organizations with the necessary tools to manage performance, collaborate on tasks, and set metrics to manage the process. Basically, both types of vendors profess to offer a single integrated solution.
For organizations to choose and implement the proper solutions (meaning the solution geared to their particular needs), it is important to identify more than just what each term means, and to push beyond vendors' marketing hype. For example, what is the real difference between OBI and BPM? How do vendors position themselves within these respective markets? And why do they say they differ, when they are selling the same products with similar functionality?
Organizations should be asking these questions to make sure the solution they implement really meets their needs and helps drive their future business needs as well. After all, both product groupings offer scorecarding, dashboarding, reporting, analytics, and data consolidation functionality. The main differentiators are the strategies used by vendors to distinguish their product offerings as well as the focus of their tools.
Before identifying the factors that differentiate OBI and BPM, and looking at how vendors position themselves within the market, it is necessary to define what these terms mean. BPM and OBI are both extensions of BI. They have evolved based on changes in the way organizations choose to view data and to leverage traditional data warehousing structures. Before the advent of real-time data updates, BI was limited to analyzing stale data. Generally, batch jobs were processed weekly or monthly, and loaded into a data warehouse or data mart to create online analytical processing (OLAP) cubes and reports. Due to their complexity, the use of OLAP cubes was relegated to a few decision makers across the organization. Report distribution was more widely circulated; however, the advantages provided by the tools were not necessarily being exploited to their full potential. As data volumes increased and the demand for more frequent updates became the norm, data warehousing structures and BI platforms had to accommodate the additional needs of users. Extract, transform, and load (ETL) evolved to encompass technologies such as enterprise information integration (EII) to allow organizations to manage their data integration initiatives on an organizational level, and to move beyond housing data in a data warehouse . These changes have allowed organizations to leverage BI tools and move towards a forward-looking view of data, to help embed BI into business processes as well as use it to manage performance throughout the organization.
Traditional BI is normally applied within organizations in two ways. Firstly, strategic BI has been used to identify long-term organizational goals by comparing yearly or monthly historical data over time. For example, strategic BI has been used to identify business goals and activities for the next few subsequent years. Secondly, tactical BI has been used to achieve short-term goals by analyzing daily or weekly data. Tactical decisions include identifying what products to sell and where to sell them.
OBI, sometimes called enterprise business intelligence (EBI), is the extension of traditional BI. Instead of using BI as identified above, BI is embedded within business processes. What this means is that data is leveraged to help organizations make decisions based on real-time needs, with a focus on addressing business needs as opposed to creating data stores based on data availability. As organizations' data has become more diverse and as data volumes have increased, demand has shifted from looking at operational data on a weekly or monthly basis, to identifying how operations are performing multiple times daily. The increase over time in data volume and in data complexity has created the necessity to deliver more data more frequently.
BPM, on the other hand, is defined as the use of software to help organizations manage their processes and measure their key performance indicators (KPIs) to optimize performance and help drive corporate strategy. Focus is on front-end interfaces such as scorecards to manage sales force performance as well as to identify product distribution.
Both OBI and BPM use similar tools to measure and define an organization's performance, and to compare the defined measurements to identified metrics. However, the focus of each industry differs slightly. OBI focuses on the internal operations of an organization, whereas BPM focuses on defined metrics. An area of differentiation includes OBI's focus on an organization's processes versus identified KPIs. Also, product offerings are generally more specific to financial functions, such as financial consolidation or budgeting. In general, the products are the same, but vendor strategy differs.
Performance management focuses on the departmental management of metrics or KPIs to manage the application of strategic planning, whereas OBI leverages the use of BI to embed those tools within organizational processes. OBI uses general BI tools to leverage the BI platform and analytics, in order to help users make timely business decisions. The term right-time BI has been coined to denote the ability to provide the right decision makers with the right information at the right time. This has been primarily accomplished by bringing the traditional BI toolset to lines of business (LOB) managers and utilizing the BI platform, such as data warehousing structures and ETL, to provide managers the ability to analyze and manage the performance of departments and employees.
BPM's main focus is to help organizations measure performance through the use of its visual tools. Even though many BPM vendors offer OLAP, reporting, and analytical tools, their main selling point is the ability to leverage data to monitor KPIs and to provide decision makers the ability to monitor employee and organizational performance. Their feature products include scorecards and dashboards, as well as monitoring and collaboration tools. These tools are used to monitor the metrics defined by a specific business unit and to collaborate on projects and tasks that will help the organization meet and exceed the metrics set (as opposed to being process-centric).
BPM can be tied to operational BI in terms of asking the same questions. However, the focus may be different, or it may not. For example, BPM solutions may identify a business process or department function (such as managing call center performance) through the use of graphing tools or scorecarding with heat graphs and stop lights, as a way to visually monitor the outcomes of set metrics. OBI takes these two systems and merges them. The premise and platforms for BPM are the same as for BI in terms of structure, but the questions asked and the way the data is used are different. Both OBI and BPM help organizations monitor and manage organizational performance based on metrics set by the organization.
Although BI vendors such as Hyperion have specific modules targeting organizations that focus on financial consolidation, performance management vendors tend to specialize more readily in financials. One of their focuses is the consolidation of financial data from across the organization to create a single view of financials and to measure performance against financial-based KPIs. When organizations look for performance management tools, aside from specific functionality they normally look towards business areas such as financials, call centers, and sales. OBI vendors also have solutions linked to these business areas, but tend to focus on overall business issues, as opposed to specialized departmental solutions. Thus, OBI tends to appeal more to operations users and LOB managers, while performance management tools appeal to financial applications users.
Vendors focusing on their scorecarding and dashboarding product offerings are generally considered to be BPM vendors because their main focus is to manage and measure performance at different levels within the organization or external organizational focus, such as sales demographics across various geographical regions. Performance management vendors provide BI tools, but may not provide traditional data warehousing platforms, or at least may not call them data warehousing. Their focus will be on the use of ETL and EII to provide the right data at the right time, but they may use other database structures in conjunction with their product offerings, or they may have their products sit on top of a more general BI platform or database structure.
OBI and BPM are natural extensions of BI. As BI tools have matured, organizations' needs have also evolved. Many BPM vendors offer solutions tailored to department specific needs, whereas OBI focuses its efforts on identifying and managing business issues by using BI within business processes.
The main difference between OBI and BPM is positioning within the market. Although performance management is touted as the next generation of BI, OBI can provide organizations with the same features and functionality. However, traditional BI is still seen as important within organizations, and its use is still pervasive. There are differentiators between performance management and OBI, but distinct differentiators seem to be quite evasive, since the definitions of each depend upon the vendor and how it positions itself within the market. In general, BPM solutions use scorecarding and dashboarding to measure organizational metrics and to help organizations manage performance. OBI allows BI to be leveraged to provide the data needed to answer essential business issues and to use the data as drivers to plan and act based on the analysis of business problems.
http://www.technologyevaluation.com/
Manufacturing Interoperability Working Group Establishes Guiding Principles for Convergence
From ARC Advisory Group
The Manufacturing Interoperability Guideline Working Group has established a set of principles for converging the OAGi, ISA-95, and B2MML activities. The "MIG Working Group" actively works with manufacturers from process, discrete, and mixed-mode manufacturers through the Interoperability Customer Advisory Council. The MIG Working Group has decided to normalize manufacturing interoperability standards for process, discrete, and mixed-mode manufacturing using the ISA-95 and OAGi models. They will work together on the ISA-95 Part 4, Object Models, and may later update ISA-95 Parts 1 and 2.
The guiding principles state that ISA-95 standards documentation should facilitate development of software services under a service-oriented architecture. This type of framework would provide semantic interoperability and reduce cost and complexity of IT systems integration.
A consistent and expanded set of business object models, terminology, and transactions will be developed within the scope of the ISA-95 and OAGi standards, including generally accepted practices for discrete and process industries. Using ISA-95 and OAGi manufacturing standards and other related work, these guidelines would include the optimal set of proven and adopted best practices.
The group intends to make sure that the standards and messages work with established methodologies and practices adopted by UN/CEFACT including Naming and Design Rules (NDR) and proposed Core Components Technical Specifications (CCTS).
An additional guiding principle of the group states that acceleration of normalization activities is to be supported under the ISA-95 and OAGi organizational charters. Customer industry sources will, when necessary, supplement available funding from the ISA and OAGi standards bodies.
The final guiding principle accepted by the group focuses on a prioritization of efforts by ensuring that recommendations are developed to find the right technical solution that delivers the greatest benefits to the manufacturing software industry, customers, and general public.
http://www.arcweb.com/
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