Find and Select
Data Technology
The data technology market is one of the most complex and crowded in enterprise software. Whether you are looking for a data integration platform, a master data management solution, a data quality tool, a data warehouse, or a real-time streaming layer, the number of vendors and the overlap between categories makes it genuinely difficult to know where to start.
This page exists to help you cut through that complexity. Viewpoint Analysis is an independent Technology Matchmaker. We help enterprise data teams, CDOs, and IT leaders find and select the right data technology solutions - quickly, objectively, and without vendor bias.
Below you will find vendor content, selection guidance, and details of how we can support your data technology project from initial market assessment through to final vendor decision.
What is Data Technology?
Data technology is an umbrella term covering the platforms, tools, and infrastructure that organisations use to collect, integrate, manage, govern, and analyse their data. It is a broad category, and the right solution for your business will depend on your specific use case, data maturity, and strategic objectives.
The main categories within data technology include:
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Data Integration and ETL/ELT - tools that move and transform data between systems (e.g. Informatica, Talend, Fivetran, Matillion)
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Master Data Management (MDM) - platforms that create a single, trusted version of core business entities such as customers, products, and suppliers
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Data Quality - tools that profile, cleanse, and monitor the accuracy and consistency of enterprise data
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Data Warehouses and Data Lakehouses - cloud-based analytical data stores such as Snowflake, Databricks, Google BigQuery, and Amazon Redshift
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Data Governance - platforms that manage data policies, lineage, cataloguing, and compliance (e.g. Alation, Collibra, Informatica CDGC)
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Real-Time and Streaming Data - tools for ingesting and processing high-velocity data streams (e.g. Confluent, Apache Kafka, AWS Kinesis)
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Customer Data Platforms (CDPs) - tools that unify customer data from multiple sources to support marketing and CX use cases
Many projects will require more than one of these capabilities, and the lines between categories are blurring fast. That is exactly why independent guidance is so valuable.
How to Select
Data
Technology
Selecting a data platform is not the same as selecting a CRM or an HR system. The evaluation criteria are more technical, the vendor landscape is more fragmented, and the risk of selecting the wrong architecture is higher. Our 'How to Select Data Technology' guide covers twenty key evaluation elements to help you make a well-informed decision.
At a high level, any robust data technology selection process should cover:
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Defining your data use case clearly before approaching vendors - integration, governance, quality, analytics, or a combination
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Assessing your current data architecture and what the new platform must integrate with
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Evaluating cloud-native versus hybrid deployment options
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Reviewing total cost of ownership, not just licence fees - implementation, training, and ongoing support all matter
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Checking vendor viability, roadmap, and customer references in your industry
FINDING
Data Technology
If you are at the early stage of a data project and are not yet sure which technology category or which vendors to explore, our finding services help you bring structure and objectivity to that initial assessment.
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Data Innovation Series - looking for new ideas? Our Innovation Series brings vendors and thought-leaders to present new ideas and technologies.
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Stick or Switch Application Review - a great way to decide whether to continue with your existing software, or move elsewhere.
Data Technology
Selection
Services
If you are at the early stage of a data project and are not yet sure which technology category or which vendors to explore, our finding services help you bring structure and objectivity to that initial assessment.
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Rapid RFI - from Longlist to Shortlist - A traditional RFI process can take months. Our Rapid RFI (RRFI) is designed to compress that timeline significantly. We manage the process, engage vendors on your behalf, and deliver a clear, justified shortlist of the most appropriate data technology options for your specific requirement.
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Rapid RFP - from Shortlist to Vendor Decision. Our Rapid RFP (RRFP) takes your shortlisted vendors through a structured, fast-paced evaluation process. We write the RFP document, host vendor qualification calls, manage Q&A sessions, and facilitate the final presentations - bringing independent expertise to every stage.
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30-Day Selection - need to move even quicker? Our fastest data tech selection process is completed in less than a calendar month!
Useful Data Technology Selection
Advice
The following Viewpoint Analysis resources are designed to help business leaders and IT teams run better technology selection processes:
Enterprise
Software
Selection
Playbook
Our Enterprise Software Selection Playbook 2026 is the most complete instructional guide to finding and selecting enterprise technology across any market or category. Whether you are new to running a formal selection process or looking to improve an existing one, this is the definitive reference.
Frequently Asked Questions - Data Technology Selection
How long does a data technology selection process typically take?
A traditional RFI and RFP process can take three to six months. Our Rapid RFI and Rapid RFP processes are designed to compress this significantly - typically six to eight weeks end-to-end. For urgent projects, our 30-Day Technology Selection delivers a preferred vendor decision in under a month.
Is Viewpoint Analysis tied to any data technology vendors?
No. We are fully independent and do not receive referral fees or commissions from any technology vendor. Our only commercial relationship is with the buying organisation. That independence is the foundation of everything we do.
What types of organisations do you work with?
We work with mid-market and enterprise organisations across all industries. Our clients typically include data and analytics leaders, CDOs, IT Directors, and transformation programme teams who need to move quickly without the cost of a large consulting engagement.
What if we just need help with a specific part of the process?
We can support individual components of a data technology selection - for example, just the RFI stage, or just the final vendor evaluation and scoring. Contact us to discuss what level of involvement makes sense for your project.
Can We Help?
Whether you are at the very start of a data technology project or already partway through a selection process, Viewpoint Analysis can help. We bring independence, speed, and enterprise technology experience to every engagement.
Get in touch to discuss your requirement and we will explain exactly how we can help.
