This year has seen some fantastic developments in the tech world. As we close out 2022, it’s time to start looking ahead to the new and exciting technologies available in 2023. From an increased emphasis on the best data observability platform tool to the rise of AI-driven analytics, here are five data trends to look out for in the coming year.
1. Robotic Process Automation (RPA)
Automating mundane tasks has long been a goal of businesses because of the efficiency and cost savings it provides. Robotic process automation (RPA) is an increasingly popular way to do this, using software robots to automate repetitive tasks such as data entry, system updates, and customer service inquiries. RPA can help streamline processes and increase accuracy while allowing employees to focus on more valuable work.
One of the anticipated trends of 2023 is using RPA for more complex tasks, such as analytics and data-driven decision-making. This application of RPA could revolutionize how businesses operate and significantly impact overall effectiveness and efficiency.
2. Data Observability Platforms
Data observability platforms are designed to provide companies with a comprehensive view of their data. They offer a clear picture of what’s happening within their data infrastructure and the ability to identify bottlenecks and inefficiencies quickly. With this increased visibility, companies can make better-informed decisions, reduce costs, and improve overall performance.
In 2023, expect to see more businesses investing in the best data observability platform tool to help them better manage and optimize their data flows and leverage the insights provided by these platforms. Through the rise in usage, companies can look forward to increased functionality and features to make data observability more powerful and beneficial.
3. Autonomous Data Pipelines
Data pipelines are the backbone of any successful analytics strategy, but they can be challenging to manage as they become increasingly complex. With autonomous data pipelines, companies can automate the process so that it requires less manual effort and is more reliable in its results. This reliability will save time and resources, decrease errors, and speed up the process of getting data insights.
More companies will rely on autonomous data pipelines in 2023 to improve their efficiency and give them the technology they need to manage large amounts of data effectively. Companies can set up autonomous pipelines quickly, get real-time insights, and make better decisions faster.
4. AI-Driven Analytics
Artificial intelligence (AI) is one of the most exciting and rapidly growing technologies of the past few years, and its applications in analytics are becoming increasingly powerful. AI-driven analytics can provide more comprehensive insights into data and more accurate predictions about future trends.
We expect to see an even greater emphasis on AI-driven analytics in 2023, with companies investing heavily in the technology to accelerate their data-driven decision-making. AI-driven analytics can provide faster and more accurate insights than traditional methods, so companies that embrace these technologies will have a competitive advantage in the market.
5. Enterprise Data Lakes
Data lakes are an important part of any analytics strategy, as they store massive amounts of structured and unstructured data for easy access and analysis. These repositories are becoming increasingly popular as they offer a secure and centralized location for companies to store, manage, and analyze their data.
In 2023, we expect to see more businesses investing in enterprise-grade data lakes explicitly designed for large organizations. These data lakes will be able to handle the increased complexity of the data and provide companies with better insights, faster analysis times, and more secure access. This will enable businesses to make informed decisions quickly, identify trends earlier, and capitalize on opportunities faster.
Final Thoughts
2023 will be an exciting year for analytics as more businesses invest in the tools and technologies needed to drive their data-driven decisions. From robotic process automation to enterprise data lakes to the best data observability platform tool, companies should take advantage of plenty of advancements. Businesses that embrace these technologies will have a leg up on their competitors and be well-positioned to succeed in the coming year.
Ingrid Maldine is a business writer, editor and management consultant with extensive experience writing and consulting for both start-ups and long established companies. She has ten years management and leadership experience gained at BSkyB in London and Viva Travel Guides in Quito, Ecuador, giving her a depth of insight into innovation in international business. With an MBA from the University of Hull and many years of experience running her own business consultancy, Ingrid’s background allows her to connect with a diverse range of clients, including cutting edge technology and web-based start-ups but also multinationals in need of assistance. Ingrid has played a defining role in shaping organizational strategy for a wide range of different organizations, including for-profit, NGOs and charities. Ingrid has also served on the Board of Directors for the South American Explorers Club in Quito, Ecuador.
