Using OLAP and Data Mining Technologies for Trending, Knowledge Discovery, and Collaborative Commerce

Transcription

1 U + U L K Using LP and ata ining echnologies for rending, Knowledge iscovery, and ollaborative ommerce Jane riffin, anaging irector KP onsulting

2 ccurate usiness Facts U + UL K ompanies face an increasingly volatile and competitive business environment. o how do you keep up with the this ever evolving tide and insure that our information is true and accurate? an our nformation be certified? Where do we have revenue leakage? Fast decision making, based on facts not on guessing Flexibility and product and customer focus are key. ransparency of ause and ffect (e.g. What is the reason our cash flow is going down? How can we react upon this trend? ) ligning Performance and Pay: make usiness Units responsible for results and reward them for good performance ain indicators for future performance (not just history based) ealizing the importance of ntangible ssets Page 1

3 onitoring & Validating Performance U + UL K ustomer segments to target ew services to develop and market es LF P * uro Prepaid 46,5 ncl. depreciation of network x. depreciation of network Postpaid 713 usiness elgium, PU of all applications [$] ultimedia achine to machine usiness data ransactions dvertising nfo services + surfing -mail Voice ustomer profitability per segment is not always the one we think to be. istribution channels to use lectronics Photography omputer ar audio elecom ffice equipment uper-markets istribution channels may experience a shift towards an increase of independent channels n # n value Voice may be the killer application for the 10 years to come. oving in the value chain might prevent PU to take up. osts to manage prepaid customers uro postpaid customers uro ustomer retention costs must be lower than customer acquisition costs to maintain margin Page 2

4 tay wake ssues U + UL K ross argin Profitabilty ales ales pportunities Profitable customers, profitable products o you have accurate information to make decisions? ustomer atisfaction Performance etention Productivity raining Headcount Page 3

5 nformation Principles U + UL K ll levels of organization are involved in the process Y nformation on request ake decisive action LK o strategy o the daily activities of the company HKL Performance measures compared to the best practices L etween the different activities of the company etween the financial and the nonfinancial indicators LL ccurate, complete and precise data provided at the right time, i.e real-time or daily UV ine data for opportunities or issues that remain hidden UPP U hare success dentify new opportunities dentify opportunities for improvement Page 4

6 ight rchitecture U + UL K xternal ashboard Feeds -H- W WP PL - PPL V FF-H- L V ales ross argin pportunities ustomer satisfaction mployee atisfaction ustomised / onfigured Web logs Web-site server WP logs WP Portal pplication logs pplication-server all enter ustomised / onfigured Legacy Web ystems logs e-usiness atamart ata Warehouse / taging rea atamart anagement atamart ales atamart Finance atamart arketing atamart «e-team» P F H K W L L P H ales & ktng ashboard Finance ashboar d ther ashboards nterprise ata ources irect ashboard Feeds Page 5

7 Questions U + UL K janegriffin@kpmg.com Page 6