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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.
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.
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.
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.
