The data journey
We are home to the best analysts, scientists, engineers, designers, visualisers and technologists, helping to empower our clients with end-to-end solutions that transform their operations and deliver solutions that create a tangible legacy for business.
Building a sustainable data-centric culture underpinned by pragmatic data ethics and sound governance. Develop a comprehensive data roadmap of BI and AI use cases, technologies and organisation/processes.
Laying the right
Building a modern data platform exploiting edge on-prem and Cloud Native technologies, equipped with the necessary instruments and tools for effective data management, AI, BI, governance, and connectivity. Feeding it with enterprise data, structured or not, including IoT and Big Data.
of your data
Innovate, measure and grow using advanced technologies and processes including machine learning and agile across the enterprise. Getting the best value from data, creating effective metrics/KPIs, and using AI for identifying new efficiencies and boosting productivity.
Democratising data ensures it will be available to the right people at the right time to aid decision making. Building comprehensive data products,
empowering humans, automating processes through AI, BI & robotics, and creating the optimal digital workplace.
End-to-end data-driven enterprise enablement harnessing the power of AI and cloud to support operations and enable continuous improvement. Keeping Data Processes and Organizations alive and running, nurturing innovation and evolution.
Data & Decision Sciences
Organisations often focus on bringing data to people through technology enablement but are still struggling to bring people to data through well-designed data literacy programs. The responsibility to educate still lies with employers to fill the gap so that their talent can:
- Understand which data is relevant and how to test its validity
- Use the data ethically
- Interpret the data
- Create insights to extract the right story
- Make informed data led decisions
- Work collaboratively with new digital colleagues/ bots
Our Data Literacy model seeks to embed literacy within organisations progress to their required level of Data Literacy by following a three-step journey using a variety of advanced tools and techniques so that it continues to grow beyond our work.
We bring human-centric transformation skills and expertise in adult learning to the offering.
Our pragmatic approach to data culture combines work on all aspects of the mindset into a systematic program under five guiding principles over a defined period of time until self-sufficiency is achieved. We help clients adopt practical steps backed up by effective change management processes, communications, and continuous learning by utilising a variety of tools, methods and channels which enable organisations to successfully transform and sustain their data culture journeys.
Data strategies define how a company will collect, store, manage, share, and use data across an organisation and also within their wider ecosystem, with a comprehensive and sustainable plan over time.
Building a foundation where a data-driven vision at organisational level is mandated by the C-suite underpins a strengthened relationship between business and IT. Creating an authentic data culture with skilled and empowered talent, and a robust yet agile infrastructure and technology is transformational within organisations
We take a pragmatic approach to helping organisations with their data strategy. From accelerating delivery with the use of assets and tools, to taking a multi-speed use case approach ensuring we have the right capabilities and foundations in place whilst driving business value and delivering strategic solutions – all of which are supported by a strong data culture.
We create a detailed Use Case + Organization and Culture + Technology coordinated plan, including costs and expected benefits to bring this roadmap to life.
Data and AI Ethics and Responsibility
Data Ethics is a business imperative, not a luxury. The ODI reported that nearly 9 in 10 people feel it is vital that organisations use data about them ethically. Customers are increasingly becoming conscious of the potential adverse impact data practice could have on them and society. It is necessary to establish a good practice around collecting, using, and sharing data, as those activities might directly or indirectly impact people and the community.
Data Ethics is about establishing principles and practices throughout the organisation so that data use is effective and safe to support its commercial goals and to meet its social responsibilities.
Data ethics applies to all stages of the data lifecycle:
- When collecting data, storing it, and sharing it
- When creating information from that data
- When acting on and exploiting that information
Mastering data ethics will help your organisation comply with laws and regulations, grow your business, and manage risk in a better way.
Data governance is one of the foundational pillars that enables organisations to successfully build trust in their data assets and adopt a data driven culture for growth, cost optimisation, compliance and risk mitigation. With the emerging trend of data democratization comes accountability and responsibility.
Data governance is key to improving decision making and performance and ensuring the integrity and transparency of data. Incorporating a governance framework would enable organisations to provide adequate oversight and control over key data assets and would be a competitive differentiator in the private and public sectors.
With the emerging trend of ML / AI driven automated decisioning, data governance would become pivotal for enforcing fairness, eliminating bias and establishing data quality.
We take a proven three-step approach addressing governance from multiple angles, with accelerators to spearhead your data governance initiatives.
We build Machine Learning (ML) and Deep Learning (DL) solutions to support data-driven decision making for companies which aim to improve their businesses and products using Artificial Intelligence (AI).
We analyse data to deliver tailored solutions for clients, co-creating fit-for-purpose data products that will become a valuable digital assets.
With 500+ AI projects in our portfolio, we answer business challenges and explore opportunities coming from any department.
Whether it’s addressing customer analytics, marketing strategy optimisation, demand planning, predictive maintenance, supply chain and logistics optimisation, HR analytics. We have the people, partners and expertise to deliver results both on premise and on cloud, using traditional development frameworks and low-code/no-code platforms.
Data Visualisation and Augmented BI
We partner with our clients to extract invaluable information “hidden” in the data which can unlock new opportunities and drive growth.
We embed ourselves within existing teams to co-create your objectives and use existing or new data to achieve business results.
- Our data analysts seek evidence in data, searching for patterns, trends or correlations to enhance insight
- Our BI experts design and deploy artifacts and AI-powered Decision Support Systems to support analysis and decision-making.
- Our Data Visualisers apply range of technologies from graphical code libraries, to state-of -the-art packaged dynamic BI solutions, in cloud and on-premises, steady or real-time.
Being able to visualise your data is transformative. We will support you to do this and bring your whole organisation on the journey.
Augmented Reality / Virtual Reality
Augmented Reality is an enhanced version of reality where the real-world environments are augmented with superimposed computer-generated images, graphics, sounds which enrich a user’s perception of reality.
We partner with our clients to create digital twins of the existing reality, and enrich it with informative data layers or animate it with realistic simulations of what would happen with real physical objects/situations.
Our AR/VR world enables infinite use cases about entertainment/infotainment, learning/training, collaborative experience, and realistic physical retail experience.
We embed ourselves within existing teams to co-create your objectives and use existing or new data to achieve business results.
Our experts work with the most advanced technologies/SDKs and devices to guarantee the most realistic virtual experience.
Many companies have started experimenting with data analytics, business intelligence and AI, and have been facing the challenges of scaling them up from the laboratory phase to a more mature production phase.
Our professional AI engineers build production-grade AI models ensuring full control on model lifecycle, and making AI explainable and actionable, fostering artifacts re-use.
We adopt the innovative DataOps and MLOps practices and technologies, designing and deploying both on cloud architectures and on customer premises, batch and real time.
We support you in engineering comprehensive Data Products and Pipelines, integrating them within IT systems and business processes, operationalizing and scaling them to effectively influence and improve business.
Our professional data engineers build modern data stacks that are the foundations of these solutions.
We adopt most modern practices and technologies, designing and deploying both on cloud architectures and on customer premises, batch and real time.
We partner with organisations to make your data work for you, now and in the future.
Smart Data Architecture forms the backbone of leading organisations, accelerating the distribution of data. It gives users access to the right information, at the right time, boosting efficiency and reducing time to market.
We become part of your team, taking the time to find, review and organise your data to deliver the right infrastructure for your business be it private, public cloud, or hybrid.
We will support you to develop your objectives, then use the latest technologies to create a solution which achieves and exceeds them. We never use technology for its own sake.
And importantly, to ensure your data remains safe and secure we collaborate with our ethics, cyber and governance experts to give you peace of mind that your project adheres to the stringest security, governance and ethical standards for industry.
We support our customers in the definition of the business objectives to enable via the cloud, should those be transforming the business model and the portfolio, digitalizing the operations, scaling the performances, or reducing the running cost.
We start from the assessment of the maturity when facing the cloud journey and then we define the best strategy according to the business objectives and the business case.
Our approach to cloud strategy embraces all the different perspectives: property strategy – private, hybrid or public – sourcing strategy – what hyperscalers and where to adopt multi-cloud – approach strategy – cloud first, or all cloud – and cloud distribution – edge and field clouds.
We support the strategy definition with a sound business case to evaluate the cloudification initiative and we complete the design with a comprehensive roadmap.
Integral part of the cloud strategy is the business realization framework in which we define a governance model to monitor the project and ensure the accomplishment of the business objectives, hence preventing any deviation.
A successful cloud solution founds on a strong cloud foundation: the benefits of the cloud can be achieved only if an operable, secure and flexible foundation has been set-up while ensuring the adoption of the cloud best practices.
We help our customers in setting up the foundation blueprint for their cloud:
- we design and build a secure, stable, scalable and efficient connectivity from the customer premises and among the clouds;
- we configure resources to guarantee automatic scaling to optimize performance and design the redundancy on build-for-failure principles;
- we specify and apply security by default to all layers, enabling encryption, traceability, authentication, authorization and accounting;
- we instrument the solution and ensure the adoption of an automated operational framework to leverage Infrastructure-as-a-Code and the API-driven nature of the cloud;
- we enable the platform observability and operability via setting up comprehensive set of tools for incident and problem management and a deep level of monitoring and logging.
Via a strict collaboration with our cybersecurity and data governance chapters of competence we guarantee a foundation that is secure by design and enforce the highest standards of data quality and governance.
In the central stage of the cloud migration, we support the customer to fulfill a complete execution of the cloud strategy.
Leveraging on a thorough experience and by making use of the most advanced tools we execute the assessment and discovery of the data and workloads, to get the full awareness of the on-premise environment and the current utilization of resources.
The evidences of the assessment guide the cloud decision tree to apply the proper approach on each component of the migration target – Re.tire, Re.tain, Re.host, Re.factor, Re.build, Re.purchase –; we tackle the decision with a clear methodology that considers feasibility, TCO, compliance and opportunities, by simulating scenarios and performing what-if analysis.
Once the scenario has been set we proceed for the execution, planning the migration in waves that take in action the technical and functional dependencies, and running the migration with a “migration factory” approach that on massive re-hosting and re-platforming employs the most advanced instruments for the automation of the migration tasks.
The whole migration is governed under the business realization framework in where we monitor the project along and ensure the accomplishment of the business objectives, hence preventing any deviation.
Cloud is a strong catalyst for the digital transformation of the business process. Where the cloud is used to modernize a customer application or introduce a brand-new digital asset, we support the customer in the design and implementation of innovative cloud-based applications that get the most out of the innovative features and functions offered by the great players of the cloud.
Modernization of the data platform, engineering of AI in the cloud, implementation of microservice digital channels over Kubernetes, re-platforming of an ERP, realization of a digital integration layer; are all samples of projects that we successfully delivered.
Our professional engineers offer a strong expertise on the design and deployment of such projects both on pure public cloud architectures, and over hybrid/multi-cloud via multi-cloud orchestration.
In our work we adopt the most advanced practices for agile development and devops automation and we aim at engaging properly the customer in the implementation phase to maximize the knowledge transfer and enable a seamless handover to the internal operations.
Our cloud governance creates business-oriented policies and principles to ensure that all investments and executions are aligned with strategic objectives, promote data integrity within the company, encourage innovation and mitigate the risk of loss or non-compliance to regulations.
The governance framework consists of five domains.
- Finance: to control the total cost of ownership of the cloud, understanding cost metrics underneath and track service consumption.
- Partner: to establish a framework where there is a clear understanding of roles and responsibilities and a strict control of the performance metrics and contract service levels.
- Portfolio: to build a repeatable and standardized process for cloud investments and align the organizational portfolio with the opportunities and risks associated with the cloud portfolio.
- Interoperability: to define the guidelines and procedures to guarantee openness and seamless integration and interoperability with the private resources and among the hybrid/multi cloud environments.
- Architecture: to define the authority who is in charge of aligning the overall enterprise architecture with the cloud and guarantee the design.
- Operations: to establish focal points and procedure to sustain cloud service operations, and address properly the cloud-specific issues, hence enabling a seamless user experience.
- Security: to surveil the cybersecurity and data security while enforcing all the structures and procedures to protect the cloud environment and its contents.
Network and IoT
We are passionate about connecting applications, users and objects within organisations to drive collaboration and productivity.
Our network architects and engineers help define strategy, identifying use cases, scouting new technology, design, implementing and configuring innovative network solutions.
Our approach blends technical expertise with strong modeling capabilities to help you find the best connectivity status to spread information within and outside your company, considering efficiency, security, manageability, cost and resilience.
We leverage on Cisco Partnership and a number of Vendor Certified Professionals Engineers to deliver projects in all IP-networks areas: LAN/Campus, WIFI, WAN, Data Center, Cloud Networking, Network Monitoring. We have large expertise in design and implement Software Defined solutions (SDA, SD-WAN, SDN) and we have a large knowledge of emerging architectures and practices such as SASE, SDDC, Edge WAN, Network Automation and DevNet.
We select, design and implement 5G Mobile Private Networks based on Telco services and fully private enterprise solutions, leveraging on concepts like network slicing, Open RAN and network virtualisation.
We identify, design and support implementation of IoT use cases leveraging on our knowledge of targeted connectivity solutions (NB-IOT, LoRAWAN, 5G…) and a large network of partners for application specific solutions.
We understand how to create a workplace which truly fosters innovation, productivity and collaboration.
We partner with organisations to create successful hybrid and remote workspaces and amazing employee experiences.
Leveraging on our Microsoft Gold Partnership, our architects and engineers design and implement solutions driving your migration from on-premise to cloud-based UCC-as-a-service paradigm; can optimise the architecture and the performance of your 365 environment.
We enrich your Teams environment with new and tailored apps, and we can use AI to build cognitive bots to automate routine help desk tasks.
Our experts work with you to manage all of this from sourcing and procurement to adding the finishing touches.
We help you to leverage on Public/Private/Consortium Blockchains to open new market opportunities supporting “consensus based” decentralized processes, conveying immutable transactions (e.g. Smart Contracts), enabling Supply Chains Tracking, and much more.
Our Experts can follow you from the advisory, to the design (business model and technical) and full stack development, tech project management, using the most renowned/edge chains like Ethereum and Algorand.
Think of us as part of your team as we manage your technology transformation at every step from advising on the best strategy, to benchmarking potential vendors/solutions, to envisioning you through inspirational workshops, to defining technology tenders, to conceiving complex programs, drafting project plans and managing compliance and stakeholders. Our team is here to ensure you release your envisioned benefits, leading your organisation into a new stage of growth and innovation.
Our consultants are true technical experts, having mastered project management frameworks in both waterfall (PMP, Prince2) and Agile (PMI-ACP; ScrumAlliance; …) methodology and with recognised ICT qualifications (TOGAF 9, eTOM, ITIL v.4). Moreover, we have specific technical background and experience in TLC and network (connectivity, LAN/Campus, WiFI, SDN…); IT Projects (OSS/BSS; Middleware integration, …) and Data projects (Analytics and AI, DWH, Data Lake, Big Data…) both on premises and cloud native environments, and with blockchain and IoT.
Finally, we have strong business case modelling capabilities, enabling us to characterise a complex tech transformation program with clear timeline, costs and benefit.
Hyper-automation and Robotics (RPA)
RPA is transforming workplaces, driving efficiencies, improving delivery, reducing errors, and improving consistency.
People are the heart of every organisation, but your people’s work can also be complimented by technology.
Designed effectively, rules-based digital workforces can power their human counterparts, processing high volumes of structured and unstructured data, round the clock.
Our RPA experts will work with your organisation to identify your challenges and how automations could answer those and drive further growth. Freeing up your people to focus on the challenges that only humans can answer.
Our RPA and AI specialists design a thorough automation program to guarantee successful adoption, with fast and tangible economic benefits.
Our unique Assesment Framework will quickly identify automatable business activities and estimated benefits. From there we can a bespoke road map for your organisation.
We are vendor agnostic, meaning that you will always be offered your best solution.
Low Code Platform
Corporate enterprise solutions like ERPs, CRMs, DMSs are complex, monolithic and seldom contemplate tailoring to the departmental processes needs for operational efficiency.
Low Code approach can be the answer to guarantee tailoring in a short time, reaching all users’ needs.
We Design, build/configure and deploy software solutions based on most advanced “Low Code Platforms” (e.g. Microsoft Power Platform), leveraging Agile and DevOps methodologies to speed up and tailor-fit the result. Our professionals support end to end, since the Advisory up to the design and fast prototyping (WYSIWYG) to the agile configuration/build, also performing “fast replatforming of legacy applications” in a Low Code approach.
Blending Low Code with RPA and integration, we can complement enterprise systems or build ICT manageable departmental facilities, to cope with every department’s needs in short time.
Full Stack Development
We design, build and deploy software solutions, leveraging Agile and DevOps methodologies to speed up and tailor-fit the result, adopting modern architectures on cloud infrastructure (microservices) to realize scalable, resilient and future-proof platforms.
Our team includes Full-Stack Developers, DevOps Engineers and Agile Coaches.
We also replatform legacy applications in a continuous integration and continuous testing approach.
Bip partners with established market leaders and fast-growing start-ups to enable Bip clients to innovate sustainably and stay ahead of the competition.
DATA ANALYTICS AND BUSINESS INTELLIGENCE
HYPERAUTOMATION / RPA