Data Landscape Survey

Our two to three week Data Landscape Survey is designed to give you a clear picture of your current data environment. By focusing on practical insights and straightforward recommendations, we’ll help you plan and prioritise your data initiatives with confidence. We specialise in data and are passionate about helping organisations increase their data literacy and confidence when making decisions about data.

What Problems Does a Data Landscape Survey Resolve?

Performance Tuning

Unlock Peak SQL Server Performance with our Query Store optimisation tools and techniques. Maximize the efficiency of your SQL Server environment with our expert Query Store analysis. We identify and resolve performance bottlenecks, optimize query execution, and implement tailored solutions to keep your systems running at peak performance.

Ambiguity

Teams often make decisions based on incomplete or outdated data, leading to misaligned priorities and costly mistakes. Our inventory provides a single source of truth to eliminate confusion and ensure everyone is on the same page.

Hidden Costs

Vendor and database costs can be opaque, making it hard to identify inefficiencies. We uncover size, usage, and connectivity insights, helping you reduce costs by consolidating and retiring unused systems.

Project Risks

Lack of data clarity puts critical initiatives like migrations, AI readiness, and application transitions at risk. We identify key dependencies, risks like naming inconsistencies or broken links, and ensure smooth execution. Some example of projects that have a high risk profile if data literacy isn’t at a high level are:

  • Data Migration - we recommend a business-driven approach where technical and business experts can agree on design decisions using a shared data dictionary which operates at both a logical and a physical level

  • Data Ingestion Readiness for AI - knowing where your key data resides and how to extract to a specific format needed by your AI solution of choice is key to optimising the accuracy of your AI’s expertise level

  • Application Transition - the full impact of an application transition must be understood from the outset rather than a heads-down (and often in the sand) approach. Whether enhancing an existing application, replacing or decommissioning altogether or transitioning from on-premise to the cloud, the data flow interdependencies between integrated applications and access requirements to databases needs to be clearly understood so that migration strategies are included to manage risks

What You Can Expect

Project Planning & Discovery

We start by cataloguing your applications and databases to build a clear picture of where your data resides. This keeps everyone on the same page and significantly reduces the risk of conflicting priorities or rework.

Risk Management & Dependencies

Our next step is to map how different systems interact, revealing any bottlenecks or risk points before they become serious problems. By spotting these early, you can prevent unexpected setbacks and keep your modernisation initiatives moving forward.

Project Health & Quality Control

We keep an eye on data consistency, highlighting issues such as naming inconsistencies or referential integrity risks. This proactive approach helps maintain a smooth project flow and minimises last-minute surprises.

Cost Management & Optimisation

Using server and database analytics, we locate inefficiencies, highlight legacy systems, and uncover opportunities for consolidation. This approach helps you optimise vendor relationships and free up budget for the projects that truly drive value.

Database Server Performance Monitoring and Remediation

Is your SQL Server underperforming or struggling with slow queries and bottlenecks? Our expert team can help you unlock the full potential of your SQL Server environment by leveraging the power of Query Store. We specialize in analyzing your Query Store data to identify performance issues, uncover query bottlenecks, and provide targeted, effective remediation strategies.

Communication and Collaboration

Our reports combine technical data with contextual data to facilitate clearer communication between your teams. This provides clear data lineage from physical data models to the Applications and Business contexts that depend on data and the data flows between Applications.

Pricing

We provide this service for a fixed price of NZ$20,000 + GST. Additional work can be delivered as agreed.
Anticipated timeframe, subject to access and key subject matter experts, would be between two and three weeks from kickoff off to completion.

How It Works

Preparation

  • Scoping Session: We facilitate a free, no-obligation session to understand your objectives, database environment, and define clear project deliverables.

  • Metadata Extraction: Your technical team runs provided queries against your MSSQL Servers to generate metadata-only CSV extracts.

  • Contextual Questionnaire: You'll complete our Excel template to provide essential business context that helps us analyse your data environment from multiple perspectives.

Week 1: Discovery & Initial Findings

  • Kick-off & Resource Gathering: We'll review all existing documentation and validate the metadata collected during preparation.

  • Data Mapping & Risk Analysis: Analyse your data sources, pinpoint dependencies, and flag any pressing quality issues.

Week 2: Detailed Insights & Action Plan

  • Quality Assessment: Identify inconsistencies and areas for immediate improvement.

  • Cost & Efficiency Review: Highlight where you can streamline resources to save on budget.

  • Recommendations: Deliver a concise summary of findings and an outline of clear next steps.

We conduct all sessions virtually.

Post Delivery

We'll schedule a follow-up call two weeks after delivery to gather your feedback and discuss potential next steps.

Results

By the end of our two-week engagement, you’ll have a clear, comprehensive inventory of your entire data ecosystem and a focused report outlining any critical dependencies or potential risks.

We’ll also provide actionable feedback on naming conventions and data consistency, helping you improve data quality across your organisation.

Finally, you’ll receive insights into cost and resource optimisation opportunities so you can streamline processes and reduce unnecessary spend. We provide all deliverables in PDF format.

Next step: fill out the form to contact us and find out more.