In parts 1, 2, and 3 of our modern data warehouse series, we laid out the benefits of a data warehouse and explored the different types of modern data warehouses available. In part 4, we walk through different options to get started with a modern data warehouse.
There is no such thing as a one size fits all data warehouse. To that end, there is no all approach to getting started. Getting started depends on your goals, needs, and where you are today. In this blog, we’ll outline a few options Aptitive has for getting started and the details for each.
- Option 1: Data Architecture Whiteboard Session
- Option 2: Modern Data Warehouse Strategy Session
- Option 3: Modern Data Warehouse Quickstart
Option 1: 60-Minute Data Architecture Assessment
A 60-minute data architecture assessment is a great option to see how a modern data warehouse would fit in your current environment and what would be involved to get from where you are now to where you want to be.
During this session we will outline a plan to achieve your goals and help you understand the tools, technologies, timeline, and cost to get there.
Who is this for? Organizations in the very early planning stages
Duration: 60 minutes
Option 2: Modern Data Warehouse Strategy
In order to see ROI and business value from your modern data warehouse, you must have a clear plan on how you are going to use it. During a modern data warehouse strategy project, our team will work with your stakeholders to understand your business goals and design a tech strategy to ensure business value and ROI from your data environment.
Who is this for? Organizations in the early planning stages looking to establish the business use case, cost benefits, and ROI of a modern data warehouse before getting started
Duration: 2-, 4-, 6-, or 8-week strategies are available
Option 3: Modern Data Platform Quickstart
You have your strategy laid out and are ready to get started ASAP. The modern data platform quickstart is a great option to get your modern data warehouse up and running in as little as six weeks.
During this quick start, we’ll create a scalable data warehouse; clean, normalize, and ingest data; and even provide reports for predefined use cases.
Who is this for? Organizations that have outlined their strategy and are ready to start seeing the benefits of a modern data warehouse
Duration: 6 weeks
Not sure where to begin? We recommend beginning with a 60-minute data architecture assessment. This session allows us to walk through your current architecture, understand your organization’s pain points and goals for analytics, brainstorm on a future state architecture based on your goals, and then come up with next steps. Furthermore, the assessment allows us to determine if your organization needs to make a change, what those changes are, and how you might go about implementing them. Simply put, we want to understand the current state, learn about the future state of what you want to build toward, and help you create a plan so you can successfully execute on a modern data warehouse project.
A Word of Warning
Modern data warehouses are a big step forward from traditional on-premise architectures. They allow organizations to innovate quicker and provide value to the business much faster. An organization has many options in the cloud and many vendors offer a cloud data warehouse, but be careful. Building a modern data warehouse architecture is highly involved and may require multiple technologies to get you to the finish line.
The most important thing to do when embarking on a modern data warehouse initiative is to have an experienced partner to guide you through the process the right way from establishing why a cloud data warehouse is important to your organization to outlining what the future state vision should be to develop a plan to get you there.
Data warehouse architecture is changing, don’t fall behind your competition! With multiple options for getting started, there is no reason to wait.
We hope you enjoyed this modern data warehouse series and found the information valuable. If you have any questions or would like to learn more, please contact us and we’ll schedule a time to connect.
Jason Maas is the COO of Aptitive and head of the Data Practice. He is a seasoned technology leader with experience spanning several industries such as transportation, accounting, insurance, retail, software, healthcare, and financial services.