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.
How tenancy support reduces the risk of rent arrears?
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.
Joining voice and digital channel for better customer experience
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.
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.
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?
The Rise of the Augmented Consumer
Data is the fundamental requirement to accurately mapping out your customers’ journey. Without access to data, the most your company could do would be to make unsound speculations about your customer’ journeys, as with no hard evidence, accuracy would be compromised. However, having a solid foundation of data helps you to precisely determine the path your customers take to reach your services, and allows you to learn about their basic needs, tendencies, interests, and more.
Driving new revenue streams with data analytics
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.
Predictive resource allocation
Mistakes and inefficiencies cost money - project slippage reduces profit margin. With predictive resource allocation, you will be able to investigate your past data, analyse your past mistakes from the information and data you have already collected, and predict the future best scenario for your business.
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.