According to PwC 76% of companies have little understanding of the competitive advantage to be gained from their information. The majority are unclear about what they are trying to achieve, often focusing on answering the wrong questions.
We focus on reducing risk and minimising cost by optimising the level of Ammonite’s involvement, simplifying data strategy and bringing clarity & control to the process. We assess your current situation against desired future state and deliver agreed objectives, services and products.
We have an unrivalled bench of highly experienced Mentors, Senior Consultants and technical experts to support and deliver your data strategy.
Ammonite are not a typical ‘land & expand’ consultancy. Our philosophy of providing the lightest touch required to deliver successful data and AI programmes means our exit is planned at the earliest point, equipping customers with the in-house knowledge and skills to continue their transformation smoothly.
Our 3 tiers of service provide the perfect blend of mentorship, augmentation and delivery that’s designed for your business. Each stage of the programme is implemented in sprints, to agreed timescales and costs.
Data & analytics transformations must drive profit or reduce cost. That’s the point … but not always the outcome. To help you achieve both, Ammonite have a deep understanding of the benefits and challenges you face wherever you are on the spectrums of business and programme maturity. We take all these factors into account in building data solutions;
Benefits & Challenges;
Data Done Differently.
We get your business delivering fit for purpose data solutions, primarily in analytics – from traditional BI to AI. As importantly, we understand how to optimise the use of data and metrics in;
In an over hyped market, we have a straight forward, pragmatic approach.
In agreed sprints we will; augment your data capabilities, build you a team to deliver in the short and long term, embed best practice to future proof your business and address the inevitable challenges of; culture, leadership, data management, tech choices and hiring.
You commit to 1 sprint, at a time;
Sprint 1: Assessment & Recommendation
Focus: leadership, strategy, data, organisation, architecture, technology
Outcomes: identify priority changes, blockers, quick wins, potential pitfalls, initial actions
Sprint 2: Initial Engagement
Focus: implementation of assessment recommendations – data leadership structure, clarify & communicate strategy, prioritise and actions initial goals, deliver on quick wins, gaining momentum and business buy-in, data governance standards, technology assessment and alignment, initial augmentation of skills and capacity
Outcomes: sustainable strategy aligned to desired business outcomes, effective organisation data leadership and structure, operative architecture, planning / delivery of priority POCs, momentum for change
Sprint 3+: Additional Sprint Engagements
Focus: Continued implementation of agreed data strategy
Outcomes: Deliver agreed objectives, enable internal capabilities, build internal capacity & capabilities, delivery of data products / services
Further sprints / Exit:
Focus and Outcomes: Cement changes & recommendations, continue knowledge transfer to the business, develop products & self-sufficiency towards desired future state in data analytics and AI
A few industry sectors are very nuanced in their infrastructure and desired programme outcomes. Financial services, manufacturing and consumer focused businesses have very different metrics, security, governance and cultures.
However, whilst the landscape is different, we believe our methods that support building and delivering successful, outcome focused data and AI programmes remain the same.
We work successfully across all industries.