data strategy

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How big data can revolutionise the education system

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How big data can revolutionise the education system

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.

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Data insights needed to achieve your net-zero strategic goals

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Data insights needed to achieve your net-zero strategic goals

Without data, our awareness of issues regarding climate change would not exist. The same is true, however, in terms of finding solutions to address this situation. Data encourages action and change, and provides companies with an accurate, detailed, dependable, and secure foundation from which to efficiently approach net-zero. By focusing on creating a comprehensive data strategy that effectively aligns with your company’s net-zero goals, tremendous strides can be taken to create a more sustainable world.

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Data Integration: Challenges

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Data Integration: Challenges

Big data is immense, both in volume and complexity. As such, it can often be a difficult resource to store, manage, and utilise effectively. To address this obstacle, however, the practice of data integration has been developed, whose role is to prevent the mismanagement of big data by consolidating it. This blog will focus on the challenges of data integration, but before doing so, we will provide a basic outline and example of the data integration process.

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How can you turn data and analytics into an integral part of your business?

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How can you turn data and analytics into an integral part of your business?

Data alone cannot help your business; rather, data requires people to analyse it in order to draw insights and ultimately guide business decisions. This process is known as data analytics, and in recent times, the process has become largely automated that allowed to reduce the probability of human error and boost efficiency. But what exactly are the benefits of utilising data to guide business strategy?

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Data Disparity

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Data Disparity

Data runs companies. It is a simple fact that no one can argue against nowadays. Everything from examining trends in labor time and production, to minimising safety and business risks throughout the supply chain, to forecasting new openings in the market - nearly every section of operations relies on the insights of data. As such, making sure that data is secure, consistent, accurate, properly managed, and free of gaps is extremely important. One of the largest problems, however, that separates successful companies from the unsuccessful is data disparity. Thus, in this blog, we will discuss the causes and challenges of data gaps within your company, as well as provide you with a simple way you can overcome this hurdle.

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Benefits of data integration

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Benefits of data integration

Organisations that wish to remain competitive and relevant in the market are embracing big data. However, there is sometimes a disconnect between the management of data and the practical application of what that data can do for a company. It is the role of data integration to bridge that gap, permitting the data to be far more useful than it was previously.

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Manual VS Automated Processes

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Manual VS Automated Processes

Every business generates endless volumes of data each day. Data is used to track information related to the quality of your product or service, safety, efficiency, customer satisfaction, and productivity. Despite the importance of accurate and complete data, entering and collecting critical information is often entrusted to manual methods like spreadsheets.

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Data democracy - What, Why and How?

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Data democracy - What, Why and How?

Before data is made centric to an organisation’s decision making process, a comprehensive data strategy undertaking is a must. Data democracy is part of that process. Here in this blog, Sarbani talks about some of the elements with data democracy that organisations must undertake.

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