Manufacturing Value Chain

Archives for May 2014 « Recent Articles

Photo of S RamachandranOffline

Cisco organized its analyst day "Engage 2014" at its Bangalore campus on 7th May 2014. Demos of working applications such as Digital Bank, flexible IT campus, intelligent WAN and a working model of IoT (Internet of Things) for a pharmaceutical factory gave a feel of what to expect from Cisco. IoT solutions today are one way flow of information – sensors feeding key machine parameters to a central dashboard with some intelligence such as dynamic variable costing etc., Future versions could involve two way communication to control the equipment, subject to OEM constraints.

Photo of Heather AshtonOffline

IBM Smarter Commerce: Focus on the Customer

By Heather Ashton

This blog provides a first glimpse at some of the relevant themes and announcements for manufacturers that IBM made at its recent IBM Smarter Commerce Global Summit in Tampa, Florida.

Photo of Simon EllisOffline

Held in Las Vegas in early-April of 2014, SCM2014 (formerly known as SAPinsider) was significant for me on two fronts. As we have noted in prior years, this event focuses extensively on the topic of the supply chain, so both sessions and manufacturer interactions are particularly useful in both understanding the perception of SAP and the extent to which both new and existing applications are being successfully adopted amongst the user base.

Photo of S RamachandranOffline

Revenue for automobile OEMs does not stop with sale of new vehicles but continues throughout its life cycle due to sale of spares parts and service. Today, the percentage of revenue from aftermarket as a share of revenue is in single digits and there is an opportunity to double it in the long run with meticulous planning, investments in appropriate technology and execution. There seems to be a paradox in some quarters that revenue from aftermarket segment could be due to poor quality of parts, which is not true. All parts have limited life due to wear and tear. If the life of critical parts can be predicted using physics based or analytical models and backed by field data, there is an opportunity to be tapped. This could translate to a regular revenue stream from replacement of parts nearing the end of their life. Revenue from aftermarket sales can be much more predictable and steady compared to new product sales.

Photo of Kimberly KnickleOffline

Verizon recently released its 2014 Data Breach Investigations Report, based on a collaborative data collection effort with 50 organizations including law enforcement agencies, security Information Sharing and Analysis Centers (ISACS), Computer Security Incident Response Teams (CSIRTS), Infosec product and service providers, forensic providers, and cyber centers. The report categorizes more than 63,000 security incidents from 2013 into 9 basic patterns, and this is possible because the data is collected using VERIS – The Vocabulary for Event Recording and Incident Sharing, a common language for describing security incidents in a structured manner.

Photo of Guy CourtinOffline

The Internet of Things (IoT) is the latest hot topic that has captured the attention of businesses across all industries. At some levels this feels like the next version of “big data.” Since 2011 there are already more connected devices than human beings on the planet. There are predictions that by 2020 there will be between 26 and 50 billion connected devices. All these devices are creating a mountain of data, truly feeding the “big data” machine. However, IoT is not big data. Big data describes the larger concept of the increase in accessible data, IoT focuses on the technology that empowers and allows for big data.

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