Modernizing Data Management
Waypoint helps organizations design and implement modern data-management solutions by bringing to clients our breadth of experience across multiple industries and dozens of clients. We help foster success based on the collective experience gathered over a wide-range of technology approaches and data-management objectives.
OUR CORE MODERN DATA MANAGEMENT PRINCIPLES
01. We empower our clients take advantage of the advancements in technology without getting lost in the confusion of options.
02. We help clients develop technology solutions based on how they fit within their strategy instead 0f the other way around.
03. Technology components for each aspect are more interchangeable than ever. Our key is to design relative to function and find the technologies that can fill those functional needs at your organization’s desired level of sophistication.
04. We help clients understand the available technology options and where their organization’s needs are, before they buy or build their own solutions.
05. Technology requires integration, which requires time and money. Waypoint minimizes the time and cost for clients to implement and improve their data-management solutions through proprietary and client proven methods.
Our Process
This graphic illustrates the preferred role of Snowflake within a Modern Data Management. As data is ingested and organized for retrieval, a structured, trusted data model with integrated tools and processes for governance and stewardship still provide the key components for analysis that is delivered to users through reporting, dashboards, and deep analytics that support decision management.
Enterprise Data Management Functions
The technologies supporting enterprise data management are changing but the key functions
to account for remain consistent
Ingestion
Capture and store all the data your organization needs
Transformation
Integrate and transform raw data into information
Analytics
Make information useable by the business
Governance
Maintain consistency, reliability and accuracy in information delivery
How We Help Clients
A few examples of key considerations that we take into account when helping clients modernize their data management approach
Changing to a Cloud Infrastructure
Why to consider it
How to remain secure and compliant
How it can save time and money
Separating storage and computing
What are the advantages
How exactly does it translate to cost savings
Governance Software
What do the major platforms actually do well, poorly, or not at all?
How do these features align with your organizations needs?
Data Management Featured Content
Download the master data white paper to get the most of the financial and operational reports that businesses rely on or watch our Modernizing Data Management webinar to learn more about best practices, trends and steps for success.
Ready to take the next steps in modernizing your data management approach?
Book a Complimentary Modern Data Management Assessment with Waypoint and Receive:
A gap analysis of how your organization's enterprise data-management strategy conforms to industry best practices for:
EIM Business Processes
EIM Technology Components
EIM Technology Processes
& Top priorities for implementing change