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Supercharge your Data Strategy

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Most Data Projects Fail

Gartner predicted in 2018 that by 2022, 85% of AI projects would deliver erroneous outcomes.

Data is the New Gold…

But most companies fail in the journey

Extracting value from data can often prove challenging and overwhelming. Have you ever experienced being immersed in a data project, only to discover it lacks direction? This sensation is more prevalent than one may assume:

  • In 2017, Gartner estimated that 60% of big data projects fail. Nick Heudecker Gartner’s former analyst tweeted the failure rate could be as high as 85%.
  • VentureBeat reported that 87% of data science fail to reach production.
  • Gartner predicted in 2018 that by 2022, 85% of AI projects would deliver erroneous outcomes.

Data Strategy needs a Product Vision

Bad data strategy and bad product strategy have a lot in common.

Numerous articles and studies have been written, dissecting the reasons behind Data project failures. There’s a key insight to get from them:

Product Management gaps are in the root of most Data project failures

At Supercharge we apply Product Discovery, Lean Product Management and Working Backwards principles to setup organizations for a successful data journey.

Our vision aligns with the emerging paradigms of Data Mesh and Data-as-a-Product (DaaP), where the value for customer, even if the customer is internal is treated as the key to success.

Why do data products fail?

Why do data products fail? Common themes. Follow the links for further perspective.

Data Strategy Jobs to Be Done

Empathy to bridge all gaps

The concentric circles illustrate the interconnected nature of various components required for a successful data strategy. At the heart is the concept of Data-as-a-product, emphasising the need to treat data with the same importance as any other product. Data product managers play a crucial role in bridging gaps between all stakeholders, ensuring that the vision and strategy are aligned, and that data products meet the needs of the business.

Meet our Founder: André Bento

Trusted by Industry Leaders

Supercharge’s Founder has successfully worked with Industry Leaders, to start projects and teams from the ground up!

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FAQ

What is your process consultation process?
  1. Initial Assessment:
    • Description: We begin by understanding your current data strategy, infrastructure, and business objectives. This involves an in-depth discussion with key stakeholders to identify challenges, opportunities, and goals.
    • Deliverable: Initial Assessment Report outlining the current state and preliminary recommendations.
  2. Discovery and Planning:
    • Description: In this phase, we conduct detailed workshops and interviews to gather more specific requirements and insights. We analyze your data sources, workflows, and existing tools.
    • Deliverable: Discovery Document detailing findings, user personas, and a high-level roadmap.
  3. Strategic Roadmap Development:
    • Description: Based on the discovery phase, we develop a comprehensive data strategy roadmap. This includes defining the vision, setting measurable objectives, and outlining the steps needed to achieve your goals.
    • Deliverable: Strategic Roadmap Document, including milestones, timelines, and resource requirements.
  4. Technical Design:
    • Description: We create a detailed technical design tailored to your needs. This includes architecture design, data integration plans, governance frameworks, and security protocols.
    • Deliverable: Technical Design Document with architecture diagrams, integration plans, and technical specifications.
  5. Implementation Planning:
    • Description: We develop a detailed implementation plan, identifying the necessary resources, timelines, and dependencies. This phase includes setting up project management structures and tools.
    • Deliverable: Implementation Plan, including project timelines, resource allocation, and risk management strategies.
  6. Implementation and Integration:
    • Description: Our team assists with the technical implementation of the data strategy. This includes setting up data infrastructure, integrating data sources, developing data products, and ensuring compliance with governance standards.
    • Deliverable: Fully integrated data systems, data products, and implementation documentation.
  7. Testing and Validation:
    • Description: We conduct thorough testing to ensure that all components are working as expected. This involves data validation, performance testing, and user acceptance testing (UAT).
    • Deliverable: Testing Reports and UAT feedback, with identified issues resolved.
  8. Training and Support:
    • Description: We provide training sessions for your team to ensure they are equipped to manage and utilize the new data systems effectively. Ongoing support is also available to address any post-implementation issues.
    • Deliverable: Training materials, user guides, and support documentation.
  9. Continuous Improvement:
    • Description: After implementation, we offer continuous monitoring and optimization services. We track performance, gather user feedback, and make iterative improvements to ensure sustained success.
    • Deliverable: Regular performance reports and a plan for ongoing enhancements.
Who is behind Supercharge?

Meet our founder: André Bento

Is there such a thing as data product management?

Data Product Management involves overseeing the lifecycle of data products, from conceptualization to deployment and continuous improvement. A Data Product Manager acts as a bridge between technical teams and business stakeholders, ensuring that data products meet user needs and align with organizational goals. This role encompasses defining the product vision, prioritizing features, ensuring data quality and governance, and facilitating seamless data integration and accessibility. By leveraging a deep understanding of both data technology and business strategy, Data Product Managers drive the successful implementation and adoption of data products, ultimately delivering actionable insights and tangible business value.

I need more than just consulting, can you help me with design and implementation?

Yes, we offer technical design and implementation services. Our team can assist with everything from creating the architecture and integrating your data systems to deploying and maintaining data products. Additionally, we partner with specialized software companies to extend and scale teams, ensuring you have the right expertise and resources at every stage of your data strategy journey. Whether you’re a startup or a scale-up, we provide comprehensive support to help you achieve your data-driven goals.

Let’s Talk!

We want to learn how we can support your data journey

BOOK A FREE CONSULTATION