Solvis is a full-service management consulting company specializing in Customer Relationship Management. Our team's experience and technical know-how will help your company to develop and deploy effective, efficient, technologically savvy demand generation and customer loyalty solutions.
destinationCRM and Sword Ciboodle are going to provide a webcast about customer experience in conjunction with Paul Greenberg. If you are new to customer experience or have a need to improve your customer relationship with recommend that you attended this webcast on March 18th, 11AM PT.
During the past few weeks Jesus Hoyos wrote a series of posts about how to improve your CRM initiatives in the areas of marketing automation, campaign management, sales and customer service.You will find "call to action" recommendations that you can implement anytime during 2009.
The use of social media tools and tactics by Barack Obama has been noted in many blogs and articles in the press and web. Our social networking partner, Neighborhood America, has these two excellent presentations explaining social network concepts in the government.
We have seen a demand in Latin America, especially in México and Colombia about using CRM and Social Networking to engage the citizen. Neighborhood America has proven experience in developing Government 2.0 solutions that connect citizens and governments online. With Neighborhood America as a partner and our CRM experience in the region, we bring a unquie value preposition to the market.
Oracle, SAP, Microsoft, SugarCRM, Salesforce.com, Aplicor and many other CRM packages now offer multiple options of CRM software to choose from. You have single-tenancy vs multi-tenancy, open-source, and SaaS vs OnPremise options. Within each vendor you have different options regarding modules and functionality. The good news is that you have choices based on your requirements, needs, priorities, IT policies and budget.
We at Solvis can help you decide which CRM vendor (software package or service) you need. We have a Software Selection Methodology that looks into processes and functionality that will help your business (small or large) select the proper software. Our methodology offers quick steps to make decisions. We can start with a short or large list of vendors, and we can offer proof-of-concepts and pilot programs for your implementation.
No matter what your software needs are, we can help your business select any CRM vendor: operational, analytical, collaborative and interactive - from call center to marketing automation and from SFA to customer service under any model: SaaS or OnPremise.
Our methodology includes the following steps:
Gather Requirements and Functionality
Identify Key Decision Criteria
Prepare and Send Out RFI
Refine Process Flows, Scenarios and Functionality
Conduct Vendor Demos
Perform Reference Checks (Due Diligence)
Perform Gap Analysis
Conduct Vendor or Reference Site Visits
Evaluate and Select Vendor
Refine Business Case
Depending of your business needs, some of the above steps are optional. We can also work with your software or implementation vendor in developing the proof-of-concept and pilot (quick win), before any major implementation. Time frames also depends on your business needs, but we can help you select software solutions from 5 to 8 weeks, or, we can just help you make a decision if you already have a short list of vendors.
Note: we have templates, tools and related documentation to facilitate a smooth selection process for all 14 steps of our methodology,
José Corona, our Mexico Office Director, is a contributing author at the Mundo-Contact 2.0 Blog. Jose writes about his customer service experiences and analytical CRM among other CRM topics. You can find his posts (in Spanish) here.
In this Webcast,
Tonya Balan, SAS Analytics Product Manager, will provide a
50,000-foot tour of Analytics. She will define a variety of
analytical approaches, talk about how they're applied in business
and why you should care.
Balan will review
Statistics, Predictive Modeling, Text Analytics, Forecasting and
Optimization. She will help you understand how statistics can help
us see customer choice patterns and develop public opinion polls;
how modeling can surface underlying reasons for customer loyalty,
reduce risk exposure with more accurate credit scoring and save on
down time with predictive maintenance.
hear how Text Analytics can help better predict the efficacy of a
drug and also identify fraudulent insurance claims. She will
underscore forecasting benefits like improving staffing and
inventory accuracies, reducing costs and ensuring availability of