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Requirement
IBM Analysis
Solution
Mueller Incorporated
Mueller Inc. being a small-town company was facing a challenge of convincing potential employees to move to the small town as they thought that it would not be good for personal growth and innovation.
Implemented a comprehensive analysis and reporting system to track supply chain and customer demand trends. Mueller Inc. then collaborated with IBM in a hope that technology solutions will be going to help in filling skills gaps in its operations with a purpose of constantly improving its business and to remain competitive.
The Analytics has helped in successfully transforming the data into information as well as used this insight in taking business decisions. IBM Analytics enables anyone to engage with data in order to answer the toughest business questions, uncover patterns and pursue breakthrough ideas. The fundamental idea is to take data into deeper insight to make confident decisions with the help of extensive analytics capabilities from IBM. This in turn helps in identifying what happened, what will happen and what should happen. Hence, it easily engages business as well as technical users to unfold opportunities and address larger issues and finally, operationalize analytics into business processes.
As a response to the prevailing issues and the data collected by the research, Mueller Inc. worked with IBM and developed an enhanced and integrated analytics platform to derive useful insight regarding the business from a range of structured and unstructured data that has been spread across the business. The action taken has helped Mueller Inc. in a number of ways: the data was managed with multiple workloads and deployment options, gaining insight to make timely actions and achieving scalability, performance and quality of service at low cost.
Apart from deploying the technological solutions with the help of IBM’s Cognos 8 Business Intelligence, Cognos TM1, SPSS Advanced Softwate, Mueller Inc. may as well have enhanced its infrastructure so that it could adapt its business from smaller towns of West Texas to larger metropolitan cities.
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Jabil Circuit
Jabil Circuit was facing a challenge of meeting thousands of customer orders and their needs because of extremely high dynamism of company’s environment. The functional and design requirements of customers often change due to the sudden changes in their demands. So, the available resources require the company to flexibly and rapidly manage its production capacity as well as its supply chain.
Jabil Circuit is leading global manufacturing and design Service Company that began financial transformation 7 years ago. It provides electronics manufacturing services and depends heavily on its ability in order to manage exceptionally complex supply chain having diverse needs of a customer base that involve the companies belonging to multiple industries.
IBM Cognos TM1 has helped in addressing inefficiencies and lack of transparencies into the finances and due to that the productivity has increased by 50% and the monthly close time has reduced by 50%. Also, the time required by the finance team has been reduced by 75%. IBM Cognos TM1 has enabled Jabil Circuit to collaborate on plans, budgets and forecasts. It is helping in analyzing and creating models, including profitability models, with a purpose of reflecting a constantly evolving business environment.
In view of the prevailing challenges, Jabil implemented a larger-scale analytic solution in the department of finance with the help of IBM Analytics. So, the clients utilize this solution for all the components regarding internal financial management cycle, forecasting of management reports as well as weekly indicators for cash management. As a result of this grand implementation of the solution with over 2,500 users spread across 22 countries around the world, a demonstration took place as how rapidly the system became a vital tool for the business.
Besides inducting the new Analytics software in place, Jabil Circuit is also needed to create a robust customer-centric infrastructure in order to meet the sudden demands of its customers.
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Place Your OrderVestas Wind Systems
In this age of extremely high consumption of fossil fuels, it is very important to harness renewable sources of energy because the world is running out of fossil fuels. At the same time, there is an increasing challenge of global heating because of the over-consumption of fossil fuels.
According to the assessment brought forth by the management of Vestas, by the year 2020, 20% of all the energy is going to come from the renewable sources and a major part of this will be provided by wind energy. As, the wind itself is highly volatile source which needs to convince the customers that they are given a reliable source. So, the only way to prove the reliability is by effectively analyzing the available data. Also, presently the system has 18 to 24 Peta Bytes of data which is equivalent to 70 years of continuous HD video.
With the help of customized IBM big data analytics solution, Vestas can effectively plan projects and generate useful information for the decades ahead as to how high the returns will going to be as well as how quickly the investment will pay off. This is because the data is worthless if you cannot retrieve information out of it. The IBM InfoSphere BigInsights enables customers to get their business case going a lot much quicker. While in the past, the questions being asked by the customers required at least three weeks to come up with their solutions, now they are provided solutions within 15 minutes.
In order to gain the benefit from those combined systems that Vestas has, it needs to optimize the way it works. So, with the introduction of IBM InfoSphere BigInsights, Vestas enables customers much better financial warranties. Hence, because of that customers will be able to sustain their decisions and risk assessment based on data. Also, as the customer needs to get his business case-certainty fulfilled, he needs predictability and reliability. This can only happen with the help of systems like IBM InfoSphere BigInsights.
References
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IBM Analytics - Case studies - United States. Ibm.com. Retrieved 8 March 2016, from http://www.ibm.com/analytics/us/en/case-studies.html
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