Understanding BIG Data
From public companies to small and medium sized businesses, every enterprise has multiple data systems that fulfils different functions. This may be your CRM, Invoicing or HR systems to name a few. These may be in big data formats, AWS or in Azure. It may be that you are unable to extract data from the cloud systems and make them talk to each other. Perhaps it just isn’t answering the questions that would aid decisions at Executive level. Our team of experts in Big Data, Analytics, Insights and Performance can help.
We access and assess your big data, how it is produced, why it is produced, and if it is answering the questions that you need to know as part of your business process. We can help to collect, clean, classify and integrate data from all these different systems through our automation service, allowing for real-time exploration of the data as a single version of truth. We make recommendations, offer solutions and then are happy to implement them. We are a flexible, experienced and based in Fleet, Hampshire with a lot of ideas on how to help you. Contact us today.
Partners and Technology
Do you often find your organisation is overwhelmed by the sheer volume of data they possess? It is crucial not to be intimidated by this abundance. Data, on its own, holds no intrinsic value; it's the way we interpret and communicate it that drives impact. Which is why data storytelling is more than just a trend- its practise that needs investing in and it’s a skill that is assured to grow in importance. Read our blog to discover 3 key elements to get data story telling right
In an era defined by the deluge of data, the significance of data science pervades every aspect of contemporary life, offering a pathway to uncovering hidden patterns, predicting future trends, and fostering meaningful advancements across industries. In this blog, we'll delve into the key features of and methodologies within data science, its importance in today's world, and actionable advice on how to initiate your organisation’s journey into the realm of data science.
Power BI reports rely heavily on the quality and efficiency of the data they connect with. Yet, there are instances where the required data is not readily available or does not align with report requirements. In such cases, developers resort to manual adjustments, risking inefficiency and unsustainability in the long run. Power BI developers need to dedicate significant efforts to optimising this transformation process to achieve the best possible report performance. To truly leverage its capabilities, it is imperative to optimise the way you use your data.
Data chaos is not necessarily negative; rather, it refers to a shift in the organisation's data mindset that impacts people, processes, and systems. Nevertheless, navigating data chaos is inherently challenging. Establishing a solid foundation for data transformation amidst these complexities is essential for creating a successful data asset that meets the organisation's future needs.
Big data lies at the heart of making data-driven decisions. Datasets that satisfy at least three of the five V’s (Volume, Velocity, Variety, Veracity, and Value) can be characterised as Big Data. As educational institutions race to be kept abreast of technological advancements, they are inundated with big data on a day-to-day basis. Big data holds immense potential for educators, offering insights to personalise learning, identify struggling students, enhance teaching methods and improve overall educational outcomes. However, successfully implementing and benefiting from it requires careful planning and execution. This blogs explores the various opportunities and limitations of big data in the context of education sector. Furthermore, it provides clear and actionable steps to get started on your big data journey.
In today's data-driven world, agility is not just a desirable capability but a critical success factor for organisations embarking on data transformation journeys. Agile delivery methodologies offer a pragmatic and effective approach to navigating the complexities of data transformation, enabling organisations to achieve accelerated time-to-value, enhance stakeholder collaboration, drive continuous improvement, and mitigate risks effectively.
Tenant satisfaction is one of the most important parts of being successful in the social housing industry, as it often leads to a higher CSAT (customer satisfaction score) which alone has numerous benefits outlined in some of our previous blogs. However, in order to ensure that your tenants are satisfied, active involvement from your organisation is necessary.
In the UK alone, the number of long-term vacant homes has risen by over 30,000 in the last 5 years. Although the worldwide pandemic has contributed to this statistic, it is continuing to grow at a staggering rate despite the recent slowdown in cases. While not apparent at first sight, the repercussions of this statistic are significant. From a societal standpoint, consequences range from an increased frequency in crime to decreased tax revenue and overall quality of public services.
Following the onset of the COVID-19 pandemic in early 2020, the need for social housing had tremendously increased due to government shutdowns and restrictions, a significant boost in layoffs, and a loss in overall income.
Data quality is more than just a technical concern; it’s about ensuring that the information we rely on is trustworthy and actionable. Whether it's setting long-term goals, streamlining operations, or complying with regulations, data quality forms the bedrock of successful business outcomes. In this blog we will explore the importance of assessing data quality, examining its key dimensions and methodologies for evaluation. Later using the assessment framework as the foundation, we will provide you with a step-by-step guide to building a data quality strategy.