amp your customer service statistics by improving data in salesforce service cloud
TRANSCRIPT
Amp Your Customer Service Stats and Improve Salesforce Service Cloud
Today’s Presenters
Clive Bearman
Dir Product Marketing, Informatica Cloud
@cbearman
Justin Donlon
Senior Business Analyst, Carbonite
@justdonlon
Mike McDermott
SVP of Sales, Primitive Logic
@MikMcDermott48
Agenda
• Informatica• Optimizing Service Cloud for Better Customer Support
• Carbonite • How Customer Service Agents Use Real Time Data
• Primitive Logic • Service Cloud Implementation and Data Management Best Practices
• Summary• Q&A – Next Steps
InformaticaOptimizing Service Cloud for Better Customer Support
What Does Customer Support Care About?
Customer Satisfaction Mean Time to Resolution
Call ThroughputAgent Training
It’s a Balancing Act
So We Look to the Best Technology to Help
Knowledge Base
IVR
Trouble Ticket
Email Response
Chat
Portal
Call CenterAgent
But it Can Still Fall Short
Knowledge Base
IVR
Trouble Ticket
Email Response
Chat
Portal
?Call CenterAgent
• Missing email• Duplicate contact• Invalid address• Incomplete records
30 minute call
Service Cloud Optimization
?Call CenterAgent
“If your customer service agents were more proactive, what impact would this have on your business?”
• Missing email• Duplicate contact• Invalid address• Incomplete records
Greater customersatisfaction!
Call CenterAgent
• Cloud DI• Cloud AI• CC360• DaaS
4 minute5 minute call
Secret is to Manage Your Data and Workflow
Integrate Cleanse
Automate
Informatica Cloud for Salesforce Success
4000Customers
30+ MajorOEMs
Over 1000 end customers
98%Renewal rate
300BnTransactions / month
CarboniteImproving Customer Experience
Carbonite Overview and Speaker Bio
Justin Donlon
• Senior Business Analyst within IT Business Applications department
• Been with Carbonite for 2 years
• Supporting platform integration between Sales, Marketing, IT and Analytics
Problem
CRM+
+
CSR Copy and Paste Customer
• CSR manually searches for customer data in home-grown CRM, then copies and pastes into Service Cloud
• Time consuming, error prone, frustrating and expensive to import all data into Salesforce
Architecture
• Trial Data• Subscription Data• Account Data
Application Integration
CRM
Solution
3. Real-time search based on Contact
Email address from Carbonite CRM
2. Guide works directly on the Case page
1. Guides import trial/subscription data
Solution
Timeline of First “Real-Time” Project
Nov 19th 2014
Dec 4th2014
Dec 10th2014
Dec16th2014
World Tourin NYC
InformaticaDemo
POC(2 hours)
ImplementationStart
Production Rollout
Feb2015
Results
• Saving at least 10 – 20 seconds per Case creation
• Material saving in head count planning and budgeting
• 9 fields of valuable data automatically imported each time a Case is created (instead of 2 mandatory fields that were copied and pasted)
• Improved customer service reporting directly within Salesforce
What’s Next for Carbonite?
• More data!• For quicker analysis of Customer Support issues• For more self-service reporting in Salesforce
• Archive data• Archive costly Salesforce data to data warehouse and expose to users via Informatica Cloud guides
Primitive LogicData Management Best Practices for a Successful Service Cloud Implementation
We provide clients full life-cycle consulting services from operational and IT strategy to creative services, to IT systems architecture and systems integration.
We have experience implementing call center migrations to Salesforce Service Cloud leveraging Informatica Cloud Editions. We handle business requirements, process improvement, business case definition, and data architecture design to ensure a successful implementation.
Primitive Logic, founded in 1984, is a leading business consulting and technology solutions firm that plans, architects and implements innovative operational and customer relationship management solutions using proven web, mobile and cloud technologies.
Website PrimitiveLogic.comCompany Privately Held Management ConsultancyLocations San Francisco (HQ), Los Angeles, San DiegoSize 200+ ConsultantsFounded 1984
Data Management Best Practices for a Successful Service Cloud Implementation
Proper planningBEFORE
starting implementation
Understand your data requirements
Utilize workflow automation and real-time integration
Proper Planning
• What are your customer service improvement objectives, measureable KPI’s and why are you implementing Service Cloud?
• Have you identified and got buy-in from all key stakeholders?• Have you properly captured requirements and identified business processes that can be improved and automated?
• How will you cleanse the data going into Service Cloud?• Does your implementation plan and estimates align with your objectives?
Understand your Data Requirements
• Define the data models, sources, policies, rules that govern whichdata is required, how it is stored, arranged, integrated, managed and put to use in your Service Cloud solution.
• Make decisions what data to replicate and in real-time in data modeling phase.
• Avoid unnecessary additional data storage costs with Salesforce.• Know what data is needed today and in the future for each Service Cloud environment (Production, Test/QA, Development).
• Don’t forget to a plan for your reference data such as manuals, product data sheets, SOP’s, digital assets, etc.
Understand your Data Requirements
• Utilize Informatica Cloud to more effectively:• Prepare, manage and protect data all in one platform. • Cleanse your data and avoid duplications using Data Quality and Address Doctor.
• Secure and mask your customer data with Test Data Management.• CC360 to integrate and consolidate data from multiple systems, validate point of entry data via business rules to provide a single view of my customer.
Integration Wizard
Mapping Designer
Data Masking
Workflow Automation and Real-Time Integration
• Access data in real time and in context to improve the CSR user experience reduce call handling times, increase first call resolutions and increase customer satisfaction.
• Automate business processes and workflows to increase CSR efficiency.• Utilize the Informatica Secure Agent that provides a seamless integration between cloud and on-premises data sources for both batch and real-time use cases.
Take Away Tips
• Proper planning focused on data requirements will yield desired benefits
• Use Informatica Cloud offering:• Data Quality • Data Integration • Real Time • CC360 for Customer Master Data Management
• Leverage Primitive Logic experience to help with your implementation.
Summary & Questions
Summary – Optimize Service Cloud for Better Customer Support
• Great Customer Support Needs• Great tools (like an optimized Salesforce Service Cloud)• Education• Process• Great CUSTOMER DATA!
• What You Need To Make Data Great• Integration (for a complete view of customer data)• Cleansing (aka Data Quality)• Automation
Q&A - Next Steps
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