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Making Faster Data Driven Sales Decisions
SIMON JOHNSTONE
www.quali5.net
www.twitter.com/simonjohnstone
+65.81834022
Strategy for Making Better faster Sales Decisions
Big Opportunity Vision of the Change Strategic Enablers
• Speed - Customer needs and Industry changes happening faster and faster – Sales Teams desire to adapt quicker
• Changing Deal Types - More Deals of smaller value
• More time Value Adding and Less time responding to questions from many sources eg “why is it $X.XX and not $X.XY”
• Focus on what we Could and Should do
• Empower teams closest to the customer with analytic and reporting tools
• Change Emphasis to “Moving the Needle rather than reporting the numbers”
• Facilitate more accurate Decision Making with
the most up to-date Data
• Design the tools to enable discovery of issues
and trends with capabilities to investigate / drill down into the root causes
• Transparency, consistency across all Groups, Sales, GBU, Delivery, Finance
• Make APJ Sales Ops accountable to for getting a solution in place to address the unique needs of each sub region
• Work hand in hand with ESIT with the technical knowledge, capabilities and future end state tools (Qlikview) to get a robust solution in place
• Leverage and align to WW “Gold Data” and end state tools wherever possible so can do once apply everywhere (All ES Regions)
• Use Monthly Lean development update cycle – with functionality determined directly by the needs of the Users
Addressing GTM Needs – Through BIZ Intelligence
Increase sales effectiveness
• Drive revenue growth – sell more• Improved execution of sales pursuits• Improved qualification of those pursuits• Improved targeting / planning of accounts
Increase sales efficiency – less cost for pursuits
• Improved aligned Sales resources to pursuits / accounts • Refined sales engagement model and timing
Improve sales predictability – greater accuracy
• Ability to have delivery & sales support resources available when needed• Improve timing of solution resource requirements• Improved customer satisfaction
Why Qlikview Apps are being Developed
Objective
• Drive for greater transparency, consistency & empowerment to all Stakeholders
( eg Sales , Presales, Finance, Biz Ops, Delivery etc )
• To drive energy on How we move the Needle (FFYR/ TCV/TEM) and do Less Reporting
Driving significant benefits to the organization
• Provide instant access to filter on multiple dimensions
• Dynamic charts for better illustration
• Combine high level summaries AND the ability to drill down to deal level
• Enable end users to discover trends, generate insights & better, more informed decisions
Sales BI Portal
WW Sales Dashboard Hierarchy
Description
1a Primarily where we are today. Dashboard
rationalization, alignment and long-term vision.
Sales operations process re-engineering
where needed (i.e. forecasting).
1b Assemble into a single framework with
horizontal alignment.
1c Global view. Analysis of 85% of McKinsey
Dashboards can be implemented; get to 99%
confidence and document gaps.
1d Link McKinsey views into the 360° dashboard
and serve as the global and regional sales drill
down.
Global Dashboards SFDC Regional Dashboards
+ +Existing applications, reports & data
A
B
A
B
C
C
1d
D
McKinsey Dashboard
360 DashboardD
APJ Sales Planning QV Activities
Sales Run Dashboard(Forecast)
Live
Sales Executive
Dashboard(Sales Executive)
Live
SalesHistory & Account
performanceDashboard
Live
Win Loss QV
Q3 Planned
Sales Velocity Money Ball
Q3 TBD
1 2 3
Model to Project Exit – Using Historical Data
Enhancements
Loy, LeiKaran SoniTheresa Yeo
Pavan Pavan
5/6 Fcst Module
Progress to Date
A day in the life... before and after
APJ Tracking & Measuring Sales Performance
BEFORE: AFTER:
Fast Robust Distribution is Increased Actionable Insights
Sales Ops & Area Leadership: A day in the life
Functionality available now & in use by Sales Ops Team & used at monthly operation review with GSL, SR GMs, COO, CFOs.
Manual data pulls from multiple systems into Excel Time-consuming Lack of mechanism and visuals to see insights/trends Lengthy 3-4 day error-prone data update cycle Inability to distribute data down to lower levels of the Organisation
APJ Sales History
BEFORE:AFTER:
54 Page Quarterly Management Deck DATA was APJ View Only Information was Static and inflexible Insights limited , little was actionable as action happen in SR’s not APJ HQ Treated as a good historical FYI record
Results cut by time x service line x sub region Done once – Updated as we move through QTR Fast and interactive Will be used in a collaborative approach Will allow us to discover things insights and others ..
Sales Ops & Sales Area Leadership: A day in the life
Functionality available in test environment, move to production 28-Mar. In active use by Sales Ops Team as is today.
Sales Ops & Area Leadership: A day in the life APJ Transforming the Sales Forecasting Process
Hours spent every week building Excel and PPT graphs in prep for reviews
Weekly manual manipulation of 5 separate Excel files with different file owners
Version control and quality control issues
BEFORE: AFTER:
Sales area review meetings smoother with more time focused on solving issues
Ability to drill to country / industry level Insights available anytime/anywhere through web link
APJ Sales Executive Performance
BEFORE: AFTER:
Static Good accurate Problem is that it was difficult to create and labour
intensive Updated too infrequently
Fast Ability to set Security level access Ability to discover Trends Qualitative and Quantitative ( with Training Details) Ability to look at historical and Current Performance
Sales Area Leadership: A day in the life
Functionality available today. To be used in Q1 Executive Performance Review, 26-Mar
Progress to Date
Feb 11
Sub Region SRD Launch (20 Users -
Email and Kickoff Mtg)
Feb 1
SRD ans SED SOFT launch
27/2
(APJ Sales Leaders SED
Launch
Feb 19
Monthly Biz Ops Sub Region Reviews Using SRD
GSL, SR GMs, COO, CFOs)
March 28 Refresh
NEW - V1.0 SHD
ENHANCEDV 1.3 SEDV 1.3 SRD
March 26
APJ Q1 Sub Region Sales Executives
Performance ReviewGSL, ASL (SED)
5 May
Forecast Module Live