a Comprehensive Data Ecosystem Review

Most businesses encounter challenges with their data systems at various stages of their data journey, from ingesting and modelling data to ensuring strong governance while maintaining speed and efficiency. Achieving this requires the right tools and processes.

The Data Ecosystem Review is designed to pinpoint the root causes of these challenges, providing actionable insights to accelerate and ensure the success of your data journey.

What you’ll get

30-Minute Introductory Call (Free)
A brief, no-obligation chat to explore your main data challenges and see if my expertise aligns with your needs. Book it here!

1-Hour Q&A Session (Free)
A detailed Q&A session to dive into the key issues that matter to you and identify opportunities for improvement. Feel free to involve your entire team!

Deep-Dive Workshop
4 X 1 hour online sessions, or a half-day in person session designed to deep-dive, find root causes and make recommendations.

Comprehensive Action Plan
Receive a detailed report with prioritised recommendations and next steps. Including, what to do now, what can wait, what to plan for the long run, all backed by the whys.

Do these sound Familiar?

Data Ingestion Troubles

  • Outdated systems causing slow and expensive data ingestion
    how do I get data out of all these old MSSQL databases…

  • Development efforts are repetitive and inefficient
    why data engineers keep doing the same thing…

  • Confusion over tooling choices and whether to opt for real-time or batch processing
    pull, push, CDC or data federation, build or buy?

Data Modelling Conflicts

  • Debates over centralisation vs. decentralisation
    you guys take forever to build this model, we can do this ourselves…

  • Multiple versions of the same data causing inconsistencies
    which version is the real one, guys???

  • High computational costs when processing large amounts of data
    why our BigQuery bill is this high, who wrote this $250 query, slots or on-demand?

  • Concerns about vendor lock-in versus the need for agility
    I am worried about locking in, but if we don’t, it really slows things down!

Integration Complexities

  • Handling complex, outdated third-party data integration requirements
    you only do SFTP? Can you use a bucket?

  • Difficulties in aligning security and privacy standards across teams
    if I implement all these so called best practices, I’ll never delivery a thing!

  • Risks associated with unmanaged third-party data access
    did you say these consultants just got access yesterday, how did that happen?

Storage Dilemmas

  • Uncertainty about where to keep short-term and long-term data
    store in bucket, or BigQuery, capture and store all changes, retention, TTL?

  • Too many database choices, making it challenging to select the right storage for analytics and operations
    I want to modernise my applications using data from BigQuery, how do I do that?

Governance Gaps

  • Inability to find or measure data quality
    it broke again! Can you explain the root cause? 3 hours later…

  • Lack of data ownership and accountability
    this column was there yesterday but it’s gone, who did this…

  • Privacy risks due to confusing access models and lack of tooling
    I have no idea who has access to what, I heard some implement privacy by design?

  • Unmanaged data exfiltration threats, wait
    you shouldn’t be downloading these. How come there’s internet enabled on your network?

Ready to Transform Your Data Ecosystem?

Don’t let data challenges hold your business back. Contact Richard today to schedule your free introductory call and take the first step towards a more efficient, secure, and agile data environment.