We are drowning in data. By 2025, we will be swimming in at least 175 Zettabytes of data. 90% of the world’s data was generated in the past 2 years!
At the same time, we are also trying to be more data-driven. Organisations are transforming themselves to figure out how best to utilise these treasure troves of data to help them analyse their processes, improve their performance, learn more about their customers, and even predict the future. However, finding the right insights is not easy.
Download our exclusive research on the trends affecting the future workforce. This 13-page report covers seven key trends including:
Demographics of the future workforce
Key skills and capabilities that form the foundation of future talents
The role of automation and its impact on jobs
New work modalities and culture
We all have heard the new adage that “data is the new gold”. Organisations are spending hundreds of millions of dollars building ‘data strategies’ to help them generate and organise more data to help them build competitive advantage. As the amount of data to be processed increases, so will the number of tools required to analyse them. However, building a data-driven culture and business is not just about giving your team the right tools and data to analyse, it is also about inculcating the right behaviours and building the right skillsets.
Desk research is a very accessible way for your team to incorporate data into their day-to-day work. Many employees go about their day executing on processes and tasks without finding insights that could help them, and therefore the business, work better. Here are several reasons why desk research is a great way to get your team to start learning about being data-driven, and start generating real business ROI’s from that behaviour:
As the world becomes more and more data-driven, it is important to ensure that you are informed when making decisions in your business. Desk research, also known as secondary research, is one of the most accessible ways to collect information quickly to generate meaningful insights.
As implied, desk research involves data gathering and analysis work that can be done without leaving the desk. It involves the collection and processing of information that has already been created by other people. This is in contrast with primary research which usually involves the creation or collection of new data through surveys, interviews, focus group discussions, and other primary data analytical tools.
An exploration into the future of workforce: how organisations and talents need to evolve and what we can do to prepare ourselves right now. In Ravenry’s second speaker series, we will discuss and reveal insights on how organisations and talents can prepare for the future. We will present our findings about the key future skills, new working paradigms, organisational structure, and workforce models that might be pervasive in our future.
The recent pandemic has accelerated some trends that are defining the future of work and life. Ravenry has crunched the data, and is presenting the 8 key trends we think will make a big different in our lives.
The COVID-19 pandemic is a black swan event that is currently disrupting the global economy. It has forced businesses to adopt new ways of working, and individuals to adapt to more homebound activities.
We will explore the intersection of work and life with experts innovating in these areas.
Ravenry has consolidated some of the government support you can tap onto during this challenging economic time. As new forms of support keep coming up during this period, we will continue updating this page to reflect the latest developments.
The on-demand work model really took off when Uber made it easy for people to hail a ride from the comfort of their couches. The taxi industry was ripe to disrupt, marketplace technology was available, and the on-demand model was the right business model. Uber was so successful that the term Uber of became the zeitgeist for startups in the on-demand economy.
What followed was a surge of companies cloning the on-demand ride-hailing model for different industries from food delivery, handyman services, house cleaning, to weed delivery. Many of these jobs are rote work. Tasks involved in these jobs such as driving, ordering food, and cleaning are repetitive and can be scaled across many on-demand workers relatively easily. And given many of these jobs involve simple tasks, there are many people who can do them and the supply of workers is high.
Companies spend millions of dollars generating or purchasing insights every year. In 2012, a report by McKinsey and IDC found that an employee spent an average of 8.8 hours searching for information and an additional 8.1 hours analysing it during a workweek. That equates to around 60 days per year of people spending time generating insights rather than executing on them.