Big Data can create unimagined opportunities – and unforeseen challenges.
Organisations who master how to leverage their structured and unstructured data can improve existing business processes, unlock new customer insights and develop innovative ways of marketing their products and services to target a specific audience.
We offer Big Data consulting services, at any stage of your deployment, that help you to deliver Big Data programmes successfully. Our experts will work collaboratively with your team to create a personalised Strategy and Roadmap that aligns with your business objectives and goals. We are vendor neutral, so our Vendor Selection is based purely on which Architecture Review will bring your organisation the greatest return on investment.
Our Experts have the knowledge and skills to translate your business objectives into scalable Big Data solutions, and to help executives make data-driven decisions. Whether you are at the start of your Big Data adoption or already have a solution in place, our team is here to provide expert advice and help your organisation become truly data-driven
identify and prioritize area where big data can drive the biggest business value
gap analysis and readiness assessments
12-month plan and recommendations for top initiatives, with key milestones, detailed timelines and visual prototypes
The most effective strategies establish the foundation for long-term success, but also clarify specific objectives and generate value quickly.
It’s a question sometimes asked in frustration by business executives who fear that there is too much focus on just capturing data and not enough on using it to improve performance.
Clearly, possession is not the point with big data. Even for companies who understand the value of big data (and that’s still not every company on the planet), the move to decision-making and action-taking can be difficult.
The obstacles can be technical – poorly designed big data architectures, with too many silos and too few integration points. Insufficient big data tools. Or they can be cultural – limited data-driven decision making at senior levels, low trust of data or refusal to share information across organizational lines. Or they can be a mix of factors.
At Data Bridge we help company to build an effective big data strategy and methodology that help companies past these challenges. The former defines how the business can and should use big data to get better. The latter is about designing the right architecture to support the full enterprise and put all the data to work, with proven big data techniques and analytical practices, in specific operational contexts.
The link to specific business problems, market opportunities or use cases must serve as the basis for quantifiable business cases.
Big data is here today, of course, but future uses (especially transformational ones like customer micro segmentation and new data-driven products) must be taken into account; strategies and methodologies should avoid common constraints, like excessive reliance on single technologies or partners.
Think beyond the pilot to ensure big data strategies can be fully executed and don’t result in just another data silo; for many companies, the major step forward comes through a powerful and adaptable ecosystem that links discovery and data platforms for long-term scalability and connects to the most important external data sources.
Unlock the secret value of your data with our Data Science experts.
Conventional Business Intelligence is about looking for and reporting on the overt facts available from a data source. Data Science applies complex mathematics and machine learning models to tease out insights that are not yet apparent.
At Data Bridge, we build algorithms to examine your data to find patterns, exceptions and distributions that will enable you to analyse your data set from angles not have previously considered. Once implemented, these algorithms can reveal insights that will add value to your data and drive productivity within your business.
Our team of Data Scientists can help you quickly locate the right signals in the data to evaluate key performance and revenue indicators to build successful growth strategies.
Our collaborative, agile and innovative approach helps you identify high-value use cases to stay ahead of the competition
We identify high-value use cases aligned with your business objectives to transform them into production-ready, scalable and valuable solutions
Our experts work in partnership with your teams and use advanced and best-suited solutions to drive business outcomes faster
Establish faster and more scalable Big Data solutions.
At Data Bridge, we enable you to establish faster and more scalable Big Data solutions at low risk. Effective Big Data adoption is achieved by processing and analysing complex information in a way that relates to your business. Our experienced Big Data Engineers will enhance the delivery of your Big Data projects by:
Through benchmarking existing systems, we can give you valuable insight into how their scale and performance profiles relate to others: to help you understand your platform, and prioritize investments around both capabilities and performance
We provide detailed evaluation of proposed designs, project plans, staffing models and execution roadmaps. By providing the benefit of our experience, and deep knowledge of the big data industry, we’ll help you avoid pitfalls and wasted resources
We design data schemas and models, embracing the full array of modern storage approaches: including relational, non-relational and file-based storage strategies. When it comes to data processing, we have deep experience in scalable, distributed architectures, from real-time streams to massively parallel batch processing
Open source big data platforms make it possible to store and analyze greater varieties and volumes of data at significantly lower costs and with greater agility by making data available for analysis immediately. However, many organizations have struggled with the trade-offs between loading and using data faster and adding appropriate levels of governance to ensure analytic results are trusted.
For successful big data implementations, enterprises must find a way to adapt proper governance practices without sacrificing agility.
Through our service engagements, we can help you add just the right amount of governance to help keep your data trusted, secure and ready for analytics.
Bringing data sources into a data lake can be a time-consuming experience. Data Bridge’s Data Lake Foundation service provides a robust solution to help companies ingest and transform data from a variety of sources in a scalable manner.
Ingest a large number of data sources into a data lake
Aggressively go after business value versus spending time building data pipelines
Focus on data lineage and provenance, thus reducing the amount of time spent on data wrangling