Data Management Must Evolve
We’re leading the charge
Learn How to Use AI to Automate Data Management and Make Data More Intelligent
Modernize Data Management & Security
Businesses are evolving more rapidly than before. Data is growing at an accelerating rate. With data growth, data security is becoming more complex. Your company has extensive data management and security technologies. But are you moving slower than you used to?
Every data management and security technology you implement adds to your legacy. It needs to be supported and maintained. It drains resources. Most organizations have 10+ data management & security technologies. Modernizing them with your existing resources is a big challenge. It’s not a part-time job. And it’s not as straightforward as migrating to the vendor’s modern cloud technology.
You need a partner who has expertise in both legacy and modern software to give you the right guidance. You need a consultant who understands the business processes driving data management, governance and security. You need Q Spark Group’s Modernization Squad.
Data Management & Security Solutions
Optimize Master Data
Management
Migrate to Cloud MDM and Expand to a Full 360 View
Data Security, Governance and Compliance
Improve Data Security Posture Management to mitigate data risk
Cloud Data Warehouse
Migration
Migrate on premises data warehouse to cloud DW
Data Engineering - Pipelines + Observability
Build cloud data pipelines and data observability for analytic data usage
Data Mesh - Business Driven Data Sharing
Implement a Data Mesh strategy to improve domain-centric data sharing
Data Fabric - Implementing a Strategy & Architecture
Implement a Data Fabric Architecture with Existing and New Data Tools
Turning Your Customer Data into a True Customer 360
Customer data is everywhere. MDM. CDP. Data Warehouses. Applications. CRM. Despite significant investment in many technologies, customer data is still fragmented.
A modern Customer 360 is delivered by multiple technologies. It delivers a 360 view via multiple methods, not just centralized data consumption. It isn’t just one technology. It requires a solution.
Q Spark Group are experts in customer data solutions. We can modernize your Customer 360 strategy and technologies.
The Q Spark Difference
Q Spark Group are experts in data management and security. Our team members have developed and implemented multiple generations of these solutions. Data management and security are foundational technologies - they enable applications and analytic tools to produce better results. That’s why we unite data and security expertise with analytic and business experts - to ensure those technologies deliver business value. Our implementation methodology, The Spark, is designed to ensure that expertise is effective and delivers quick time to value.
Take the Data-Insight-Action Self-Assessment
Everyone says being data-driven is a journey. But how can you plan that journey if you don’t know where you are starting from? It is essential to know how mature you are in terms of data management, analytics and acting on insights. It is transformative to know how mature you are in integrating those 3 disciplines.
Take 2 minutes and fill out 12 questions. You will get both an individual maturity assessment for data, insights and actions, and a collective assessment across all three disciplines. Recommended next steps to mature Data-Insights-Actions are offered.
Insights on Modernizing Data Management
The Current State of MDM – Part 2 – The Curious Relationship Between MDM and Data Governance
Twenty plus years after the emergence of MDM and data governance, their relationship remains unfulfilled. Both have reached a stage of maturity. So why aren’t there more proof points of them working together?
Best Practices to Migrate to a Cloud MDM Solution – Step 4 – Review
Great news! You’ve implemented and migrated to your cloud MDM! But you’re not done yet. In this blog series on MDM Cloud Migration, we have explored 3 steps – planning, expertise, and execution.
The Current State of MDM – Part 1 – Operational MDM Projects in No-man’s Land
Operational MDM projects that are caught in no-man’s land. In this sort of project, MDM ingests data from operational systems like CRM and ERP, match data records, and provide master data back to operational systems and processes.
