Successfully reported this slideshow.
We use your LinkedIn profile and activity data to personalize ads and to show you more relevant ads. You can change your ad preferences anytime.

Big Data Analytics

14,347 views

Published on

The importance and amount of data has increased significantly over the past years. One of the biggest challenges in the automotive industry is the intelligent evaluation and use of large amounts of data.

Published in: Business
  • Be the first to comment

  • Be the first to like this

Big Data Analytics

  1. 1. > Big Data Analytics A BearingPoint Accelerator The importance and amount of data has increased significantly over the past years. One of the biggest challenges in the automotive industry is the intelligent evaluation and use of large amounts of data. BearingPoint has already successfully completed numerous predictive analytics projects and has extensive process and implementation experience in the automotive industry.
  2. 2. Big Data Analytics | A BearingPoint Accelerator Contents Market Drivers Our Approach Client Benefits References Contact CLIENT BENEFITSOUR APPROACHMARKET DRIVERS REFERENCES CONTACT< >
  3. 3. Big Data Analytics | A BearingPoint Accelerator CLIENT BENEFITSOUR APPROACHMARKET DRIVERS REFERENCES CONTACT< > Market Drivers The Potential of big data analytics technology is unexploited in the automotive industry 94 % understand the enormous importance of big data & analytics in the automotive industry. But only 7 % are engaged in the technology trend Typical challenges in big data analytics are: • Existence of data in different formats and systems • Analysis and definition of relevant information • Ensuring data security • Data quality and data consistency • Big data infrastructure
  4. 4. Big Data Analytics | A BearingPoint Accelerator CLIENT BENEFITSOUR APPROACHMARKET DRIVERS REFERENCES CONTACT< > Our Approach Our project approach follows a standardized process with defined project gates and regular meetings • Define client questions and issues • Study of work already done • Define interactions with the existing organization • Identify related processes • List causes and consequences • Prioritize impact processes • Review available data • Perform deep data diagnosis • Complete data collection and formatting • Validate variables (quality assurance) • Derive new variables • Perform univariate analysis • Correlate analysis • Analyze consolidated data • Perform statistical analysis • Undergo exhaustive rule generation • Conclude rule mining to identify relevant rules • Iterate process to refine rules • Build predictive models • Make joint decisions where to deepen the analysis • Filter rules and minimize optimal rule set • Chose best model • Suggest operational action plans • Define client questions and issues • Study of work already done • Define interactions with the existing organization Data collection Root cause mapping Business issue Data consolidation Statistical analyses Modelling & prediction Operational results Implementation A. Preparation & data collection Kick off Meeting * Additional software agreements may be signed with third party provider or BearingPoint. Process Meeting B. Data analysis C. Conclusion Data Meeting Review Meeting Analytics Meeting Analytics Meeting Results Meeting Final Presentation
  5. 5. Big Data Analytics | A BearingPoint Accelerator CLIENT BENEFITSOUR APPROACHMARKET DRIVERS REFERENCES CONTACT< > Client Benefits For companies in the automotive industry and for the efficient use of big data analytics, the following points are recommended: How BearingPoint creates value: • Empirical decision support • Efficient information retrieval from large amounts of data • Holistic view of current data and insight into future developments • High customer satisfaction Use big data & analytics-applications along the entire value chain Enable cross-functional data exchange Establish big data & analytics as a core technology in the digitalization of the company, as a base for the development of future ecosystems Define and consistently implement a company-wide big data & analytics strategy The specific creation and expansion of existing jobs openings for skilled big data & analytics specialists as an enlargement of the internal company know-how
  6. 6. Big Data Analytics | A BearingPoint Accelerator References CLIENT BENEFITSOUR APPROACHMARKET DRIVERS REFERENCES CONTACT< > 1. Advanced Warranty Containment System (AWaCS) BearingPoint provides the Eco system for the development of a customer-specific early warning system for quality- and warranty issues 2. Increased sales through automated CRM and sales push With a more precise customer selection and a clear CRM process, sales with service contracts has been significantly increased 3. Analysis of battery data in commercial vehicles BearingPoint was engaged to analyze the usage of batteries in utility vehicles to optimize the energy management and identify user profiles 4. Failure prognosis for spot welding The prediction of point-welding failures during vehicle production has enormous potential to prevent production downtimes 5. Sales forecast Prediction of the all-time demand for spare parts in the automotive aftersales sector How we’ve helped our clients: • Reduce the detection-to-correction cycle • Reduce warranties • Improved vehicle quality • Lower costs and improve forecasting • Provide intuitive analytical capabilities by using the most advanced dashboard and reporting tools • Ensure long-term customer loyalty and satisfaction for new and existing customers • Increase transparency in sales activities • Reduce number of parts due to more accurate forecast results
  7. 7. Big Data Analytics | A BearingPoint Accelerator Contact Christoph Landgrebe Partner BearingPoint Germany christoph.landgrebe@bearingpoint.com Matthias Loebich Partner BearingPoint Germany matthias.loebich@bearingpoint.com Christian Aicher Senior Manager BearingPoint Germany christian.aicher@bearingpoint.com CLIENT BENEFITSOUR APPROACHMARKET DRIVERS REFERENCES CONTACT< About BearingPoint BearingPoint consultants understand that the world of business changes constantly and that the resulting complexities demand intelligent and adaptive solutions. Our clients, whether in commercial or financial industries or in government, experience real results when they work with us. We combine industry, operational and technology skills with relevant proprietary and other assets in order to tailor solutions for each client’s individual challenges. This adaptive approach is at the heart of our culture and has led to long-standing relationships with many of the world’s leading companies and organizations. Our global consulting network of 9,700 people serves clients in more than 70 countries and engages with them for measurable results and long-lasting success. For more information, please visit: www.bearingpoint.com © 2017 BearingPoint. All rights reserved

×