Sign for Notice Everyday    Sign Up| Sign In| Link| English|

Our Sponsors

    Receive Latest News

    Feedburner
    Share Us


    LEARN WHY BUSINESS ANALYTICS AND LEVERAGING BIG DA 2015 - Business Analytics for the Office of Finance- Business intelligence

    View: 209

    Website http://www.onlinecompliancepanel.com/ecommerce/webinar/~product_id=501003?expDate=Sep11_2015_Busines | Want to Edit it Edit Freely

    Category Business intelligence, business analytics, correlation, regression, segmentation, clustering, rolling financial forecasts, customer profitability analysis

    Deadline: September 10, 2015 | Date: September 11, 2015

    Venue/Country: online Webinar, U.S.A

    Updated: 2015-09-03 15:27:08 (GMT+9)

    Call For Papers - CFP

    Business Analytics for the Office of Finance

    Instructor: Gary Cokins

    Product ID: 501003

    Description

    With analytics organizations gain insights for better and more timely decision making. Business intelligence (BI) reporting consumes stored data that first must be cleansed and integrated from disparate source systems and then is transformed into information. Analytics produces new information. Enterprise performance management (EPM) then leverages and deploys the information. EPM requires BI as a foundation. Predictive analytics are important because organizations are shifting from managing by control and reacting to after-the-fact data toward managing with anticipatory planning so they can be proactive and make adjustments before problems arise.

    What is needed today is the seamless integration of managerial methodologies such as balanced scorecards, strategy maps, budgets, activity-based costing (ABC), forecasts, customer relationship and value management, and resource capacity planning. Each one must be embedded with business analytics. The methodologies are collectively intended to align manager and employee behavior and limited resources to focus on the organization's strategic priorities and objectives.

    Areas Covered

    Clarification of what enterprise and corporate performance management (EPM/CPM) methods are (in which analytics are applied)

    Generic business strategies that are today vulnerable to be sustained

    Definition of business analytics and how it is an advance over business intelligence (BI)

    The difference between forecasting and predictive modeling

    Industry examples of applying analytics

    Specific examples of applying analytics to CFO processes (strategy maps, customer profitability drivers, rolling financial forecasts)

    How prescriptive analytics (e.g. optimization) is an advance over predictive analytics

    Why Should you Attend

    To become aware of how business analytics is impacting the CFO's function.

    Objectives of the Presentation

    Learning why business analytics and leveraging Big Data provide a competitive advantage

    Understanding the difference between business intelligence (BI) and business analytics

    How to imbed statistics and analytics into enterprise performance management (EPM) methods

    How to differentiate forecasting from predictive modeling

    Viewing examples of analytics with EPM methods

    Learning alternative approaches to accelerating the adoption rate of business analytics

    Who can Benefit

    Board of Directors

    CxOs

    CFOs

    Accountants

    Business Analysts

    Strategic Planners

    Supply Chain Analysts

    Marketing Analysts

    For Registration -

    http://www.onlinecompliancepanel.com/ecommerce/webinar/~product_id=501003?expDate=Sep11_2015_BusinessAnalytics=Channel=ourglocal

    Note : Use coupon code 1371 and get 10% off on Registration


    Keywords: Accepted papers list. Acceptance Rate. EI Compendex. Engineering Index. ISTP index. ISI index. Impact Factor.
    Disclaimer: ourGlocal is an open academical resource system, which anyone can edit or update. Usually, journal information updated by us, journal managers or others. So the information is old or wrong now. Specially, impact factor is changing every year. Even it was correct when updated, it may have been changed now. So please go to Thomson Reuters to confirm latest value about Journal impact factor.