Supply chain management engages big data
The game has changed for supply chain leaders from 2014 onwards, when big data and predictive analytics play a big role in staying on top of the game. Both will be critical components of smoothly navigating towards global revenue predictions created using Supply Chain Management (SCM).
For this, supply chain leaders must plan a thorough strategy based on the analysis and evaluation of results of technologies adopted in the past. Out of that effort arises an important question: What is there in the horizon of big data to better help supply chain management? Let's see some general figures: According to detailed research conducted by IndustryARC, the global big-data market was around $6.93 billion in 2012 and this doubled to around $12.21 billion in 2013. The market is expected to reach $40.4 billion by 2018, growing at a CAGR of 27 per cent from 2013 to 2018.
Learn from yesterday, look to tomorrow
Traditional business analytics were good in the past, but they don't work for the demands of the new supply chain. Today, supply chain leaders need to know how to ask the important questions. This is precisely where big-data predictive analytics comes into play helping to recognise and mitigate issues quickly, saving both time and money.
IndustryARC, an industry market research and analysis company, explored this topic in particular detail in the global "Big Data Market in Supply Chain Management" report. The 110-page report published in October 2013 includes key trends, competitive landscape, geographic, and end-user segment analysis comprising the years 2012 to 2018.
Big data in supply chain management
Big-data technologies have captured everybody's attention in the last year. The different varieties of data have become regulars in everybody's vocabulary: Structured data, unstructured data, clean data, dirty data, and real-time data. All big data that, if used well, can provide the SCM with great answers and valuable help in doing faster and better business in today's data driven world. IndustryARC found in its research that the global big data in supply chain market is expected to increase from around $0.43 billion in 2012 to around $3.7 billion in 2018 growing at a CAGR of around 31.4 per cent from 2013 to 2018.
Predictive analytics brings opportunity of growth to supply chains
As supply chains get more and more complex they need to adopt better tools to maximise their data in a fast and efficient way. There are plenty of supply chain opportunities in big data and predictive analytics. For example, the anticipation of problems brings solutions before problems manifest and it's too late prevent a business disaster. With this in mind I asked Rahul Mistry, senior consultant ICT of IndustryARC and author of the report "Big Data Market in Supply Chain Management" about his advice to SCM leaders. This is what he told me in an email:
The manufacturing segment collects massive amounts of data from its supply chain channels and also from the instrumentation or sensor networks on the production floor. Tighter integration and analysis of these databases using big data can be helpful to improve efficiencies of inventory management, sales and distribution process and continuous monitoring of devices. For the manufacturing segment to grow, companies need to realise the cost benefits accrued due to usage of big data. Predictive maintenance of equipment is an immediate segment in this sector ripe for growth.
Big-data tools implementation in the supply chain
With so many vendors out there sometimes it's difficult to choose the one that suits best the interest of a particular supply chain. The best way to impress a client is to offer something unique, standing out from the crowd. Mistry went on telling me about implementation advice for SCM:
A range of big-data software tools from vendors like IBM, HP, Teradata, Oracle, SAP, EMC and Amazon are available for clients to explore currently. These offerings are highly integratable with the existing ERP, SAP and MES solutions as the original vendors for these tools are essentially the same. The costs are also significantly less due to less usage of legacy software, cloudification of data analysis and decreased number of licences, personnel. Big-data providers, however, need to showcase the cost and time-saving benefits of their tools to potential clients and impress the client with implementation of their service with one division and ramp up to include the whole organisation.
The manufacturing sector will lead in revenues for big data
The promising $40.4 billion in revenue for the supply chain market between 2013 and 2018 is certainly a big motivator. Rahul Mistry and IndustryARC kindly shared with EBN the following segment of the report.
- Susan Fourtané
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