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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.
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.
As communication technology has transformed in the past several decades, consumers too have changed in the way they interact with businesses. While face-to-face communication is still one of the most prevalent forms of consumer-to-business interaction, newer forms of communication such as telephone, email, and website are quickly growing in popularity. Although making the effort to open new communication channels may seem like the obvious choice, many companies in recent times have been slow to adapt. As a result, customer experience has worsened, company reputations have declined, and more.
In the realm of marketing, personalisation is key. By tailoring your company’s products and services to the unique needs of your customers, better content will be developed, customer experience will be enhanced, and revenue will significantly increase. In order to do this, marketers require one important tool: data. But with big data becoming more and more prevalent in today’s digital society, marketers need a way to effectively organise such data into a coherent and comprehensible manner.
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.
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.
In order to both acquire and retain customers, it is integral that businesses harness the insights of their customer data in order to make precise business decisions. This process is commonly regarded as data monetisation. In today’s society, however, possessing only one or two sources of revenue is sometimes not enough to support a fully fledged business. It is thus important that your business uses data analytics to expand its niche by providing new services, which will ultimately result in increased streams of revenue as well as funds. In this blog, we will discuss the importance of generating new revenue streams through data analytics and some steps you can take to perform this.
Data provides an intricate understanding of your company's audience. Organisations often collect consumer data to gain a clearer image of their customers' behaviour, as well as to define the general demographics of their clients. Furthermore, freely accessible data makes it significantly easier for the company to strengthen the link between them and its clients. When a business becomes more familiar with the demographics as well as profiles of its clients, the company can make real-time changes to the business to fit customers' needs and thus, improve the overall client experience.
