Is Your Organization Keeping Valuable Customer Data in Spreadsheets or a Homegrown Access™ Database?
A Common Scenario
One of the most common reasons for buying Everest is to replace spreadsheets, old software or a paper-based process. Our expertise comes from over 40 years of software application development. We understand the trade-off decisions considering in-house software development vs. buying a commercial off-the-shelf solution such as Everest.
Resource Allocation
One of the key factors to consider is project resource allocation. Significant issues to consider include:
The internal resources necessary to create the desired functionality
The talent and resources needed to maintain and update the system
The effort required to become a subject matter expert
The responsibility and resources to keep the system tuned with the latest technical advancements
An internal development team may possess the programming skills and even the lengthy development time required, however the extensive ongoing refinement of Everest keeps it consistently ahead of the pack. With Everest, you get the latest technological advancements, feature enhancements and cross-industry best practices bundled into regular releases of the program. Our focus and software expertise are unmatched because of the simple fact that Everest is all we do at Lynk Software.
Reasons for Change
Is your organization still keeping valuable customer data in various Excel™ spreadsheets or a homegrown Access™
database? Everest is a smart choice for many reasons. Consider the following:
Multiple spreadsheets make consolidated reporting difficult and very time consuming, while inconsistencies can cause numerous errors
Internally developed databases require regular maintenance and are usually over-dependent on a particular individual for advanced procedures or troubleshooting
Data analysis is a time consuming, labor intensive process
Limited functionality and static system design
No internal support or completely outdated technology
Results are displayed or categorized wrong due to inconsistent entries into key data fields
Does not scale well for an expanded scope across multiple departments or multiple locations
Evolution of the business including sales growth, expansion, merger, acquisition or re-organization
Regulatory compliance requirements or industry standards for improving quality