Select Your Data Platform | Info-Tech Research Group

Every organization needs a data management (DM) platform that enables the DM capabilities required. This could be a daunting task because:

Every organization has a unique set of requirements for the DM platform.
Software products are difficult to compare because every vendor provides a unique set of features.
Software vendors are interested in getting as large a footprint as possible.
Some products from different categories offer the same functionalities.
Some products are just not compatible.

Our Advice

Critical Insight

Technology requirements start with the business goals.
Data platform selection should be based on common best practices and, at the same time, be optimized for the organization’s specific needs and goals and support an evolutionary platform development.
What is best for one organization may be totally unacceptable for another – all for very valid reasons.

Impact and Result

Understand your current environment and use proven reference architecture patterns to expedite building the data management platform that matches your needs.

Use a holistic approach.
Understand your goals and priorities.
Picture your target-state architecture.
Identify your current technology coverage.
Select the software covering the gaps in technology enablement based on feature/functional enablement descriptions as well as vendor and deployment preferences.

Select Your Data Platform Research & Tools

Start here – read the Executive Brief

Read our concise Executive Brief to find out what challenges are typically in the way of designing a data platform, review Info-Tech’s methodology, and understand how we can support you in completing this project.

Select Your Data Platform – Executive Brief

1. Select your data platform

Assess your current environment, find the right reference architecture pattern, and match identified capabilities with software features.

Member Testimonials

After each Info-Tech experience, we ask our members to quantify the real-time savings, monetary impact, and project improvements our research helped them achieve. See our top member experiences for this blueprint and what our clients have to say.

10.0/10

Overall Impact

$62,999

Average $ Saved

20

Average Days Saved

Client

Experience

Impact

$ Saved

Days Saved

Testimonial

Alnylam US, Inc

Guided Implementation

10/10

$62,999

20

Thanks to Igor, we are able to make an informed and well thought through decision on the data platform selection and overall reference architecture... Read More

Select Your Data Platform visualization

Make complex tasks simple by applying proven methodology.

About Info-Tech

Info-Tech Research Group is the world’s fastest-growing information technology research and advisory company, proudly serving over 30,000 IT professionals.

We produce unbiased and highly relevant research to help CIOs and IT leaders make strategic, timely, and well-informed decisions. We partner closely with IT teams to provide everything they need, from actionable tools to analyst guidance, ensuring they deliver measurable results for their organizations.

What Is a Blueprint?

A blueprint is designed to be a roadmap, containing a methodology and the tools and templates you need to solve your IT problems.

Each blueprint can be accompanied by a Guided Implementation that provides you access to our world-class analysts to help you get through the project.

Table of Contents

Need Extra Help?
Speak With An Analyst

Get the help you need in this 1-phase advisory process. You'll receive 7 touchpoints with our researchers, all included in your membership.

Call 1: Scope requirements, objectives, and your specific challenges with the data platform.
Call 2: Assess your current environment.
Call 3: Select the target architecture pattern.
Call 4: Download and customize your architecture pattern.
Call 5: Finalize your architecture pattern based on Info-Tech’s architecture pattern.
Call 6: Match identified capabilities with software features.
Call 7: Shortlist vendors covering all the capabilities.

Authors

Igor Ikonnikov

Rajesh Parab

Search Code: 97761
Last Revised: October 26, 2021

TAGS:

Data Platform, Data Architecture, Data Management, Data Management Capabilities, Data Management Software

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