Topics: Microsoft, Microsoft SQL Server, Microsoft Visual Studio Pages: 6 (869 words) Published: October 13, 2014

Big Data Challenges
Dheeraj Reddy Bayyapureddy
CIS 500: Info Sys for Decision Making
Prof. Akhtar Shah
Strayer University

The IT Structure at Ford was made up of many systems that were tangled into one large IT system. When Volvo separated from from Ford in 2010, it had the opportunity to develop an IT system that could provide better Business Intelligence capabilities. At Volvo, a Teradata® system integrates product configuration, warranty, and vehicle diagnostic data to support technical and business analyses throughout the product lifecycle. The ready availability of current, quality-controlled data is transforming decision-making processes throughout the organization, with beneficial impacts on quality, warranty costs, customer satisfaction, and bottom line profitability.

Cloud Integration into Volvo’s Network
The ability to collectively harness the wealth of data being mined was invaluable. Volvo Collects a large amount of wealth from its cars on a daily basis and this data is invaluable in making the cars less prone to accidents. Volvo’s promise of making sure that there will be no accidents in a Volvo car by 2020 is one insight into how this data is being analyzed and used. All this information is then transferred via cloud to its Volvo Data warehouse where it is stored for Long Term Archival and Retrieval or it can be accessed by Volvo’s employees. In 2010, Volvo stretched across eight main business units and twelve support areas with production plants in 19 countries. The platform used to link employees at the business units, support and production plants together are done via Volvo’s cloud with Saas software as a user interface and display. Volvo has a high-performance infrastructure that includes parallel multi-processing, high-speed networking, and fast I/O storage. Transforming Data into Knowledge

All the data Volvo obtains is stored in Volvo's Data Warehouse and by combining and analyzing this large amount of data, Volvo gets the information it needs to make better cars. Volvo has the ability to obtain information about manufacturing defects early on which can help it in preventing producing cars with defects on a large scale.  This data gives Volvo big insights through the use of analytic velocity or rapid, almost real-time analysis to assist them with providing better service to their customers and move ahead of their competitors. Volvo's ability to produce cars with exceptional safety measures comes from their ability to review safety and system data collected from their vehicles. Another example would be developing the most effective maintenance plan for their vehicles because they know when specific components need to be checked or replaced. Real Time Information Systems

Volvo implemented Microsoft Server Production Portfolio including Microsoft SharePoint Server 2010, Microsoft SQL Server 2012 Business Intelligence, and Microsoft Office 2010. The company also utilized Microsoft SQL Server 2012 Reporting Services (including Power View) and Microsoft SQL Server 2012 Analytical Services to perform the business analytics and handle the reporting. The impact of streamlining their IT architecture allowed Volvo to simplify their IT environment which reduced costs by not having to keep up with multiple seats and licenses for multiple systems. It also improve efficiency by allowing employees to work on a system they were already familiar. All while enabling Volvo to have better business intelligence and richer collaboration because their employees could communicate with one another and share huge volumes of data across large distances faster and easier. Advantages of Using Big Data

The real time analytical abilities give Volvo a clear advantage over its competitors. Knowledge is power and having all of that power available and at your finger tips allows Volvo to use a Big Data Strategy to provide better service to their customers. They have the ability to accurately...

References: Volvo: A car company powered by Teradata.
Asthana, Praveen (2011) Big Data and Little Data, Forbes Magazine at, (2012) Collecting Driving Data to Improve Safety,
Continue Reading

Please join StudyMode to read the full document

You May Also Find These Documents Helpful

  • The Clouds by Aristophanes Essay
  • Clouds vs. The Apology Research Paper
  • cloud stoage infrastructure,amazon S3 Essay
  • Optimal pricing for Cloud Essay
  • Cloud Services Brokerage Essay
  • Strange Cloud Essay
  • How do clouds form Essay
  • Sun and High Sunlit Clouds Essay

Become a StudyMode Member

Sign Up - It's Free