Top 10 Trends To Look For In Data Automation In 2023 (1)

1. Top 10 Trends To Look For In Data Automation In 2023 =================================================================== Data automation refers to using software tools and technologies to streamline and automate the process of collecting, processing, analyzing, and reporting data. Data automation has become increasingly important in today's data-driven business landscape as organizations strive to improve efficiency, reduce costs, and gain insights from their data. Business Intelligence reporting tools are software applications that allow organizations to gather and analyze data from multiple sources to make informed decisions. A dashboard tool like Grow provides various functionalities, such as data visualization, interactive dashboards, and ad hoc reporting, to help businesses gain insights into their operations and identify growth opportunities. In this blog, we will explore the top 10 trends to look for in data automation in 2023. Trend 1: Increased Adoption of Artificial Intelligence (AI) Artificial Intelligence (AI) is expected to play a significant role in data automation in 2023. AI and machine learning algorithms can be integrated into data automation processes to improve data quality, reduce errors, and speed up data processing. According to a recent report by Market Research Future, the global market for AI in data automation is expected to grow at a compound annual growth rate of 33.7% between 2018 and 2023. Trend 2: More Focus on Data Quality and Accuracy As data becomes increasingly important in decision-making processes, organizations are emphasizing more on ensuring data quality and accuracy. Data cleansing and validation tools are becoming more popular, and data governance processes are being implemented to ensure data is reliable and trustworthy. Business Intelligence reporting tool by Grow simplifies the process of collecting, organising, and transforming data from disparate sources into usable metrics and visualisations. Trend 3: Greater Use of Cloud-based Data Automation Solutions

2. Cloud-based solutions for data automation are gaining popularity due to their flexibility, scalability, and cost-effectiveness. A report by MarketsandMarkets states that the global cloud-based data warehousing market is expected to grow from $1.07 billion in 2018 to $3.25 billion in 2023 at a compound annual growth rate of 24.8%. Grow’s cloud-based marketing reporting dashboard is your place to make the most of your paid ads in the shortest time possible. Trend 4: Expansion of Internet of Things (IoT) Data Automation As the number of IoT devices and sensors continues to grow, so does the amount of data generated. The number of IoT devices is expected to reach 41.6 billion by 2025, generating 79.4 zettabytes of data. This data can be used for predictive analytics, maintenance, and operations optimization. Trend 5: Increased Focus on Data Security and Privacy With the growing threat of data breaches and cyber attacks, organizations increasingly emphasize data security and privacy. Stricter regulations such as the General Data Protection Regulation (GDPR) and the California Consumer Privacy Act (CCPA) are being implemented to protect consumers' personal data. Trend 6: Rise of Self-Service Data Automation Self-service data automation empowers non-technical users to perform data automation tasks, reducing the burden on IT departments. As per a Gartner report, by 2023, more than 40% of data science tasks will be automated, resulting in increased productivity and reduced costs. Trend 7: Greater Integration of Data Automation with Business Processes Data automation is being integrated with business processes such as Enterprise Resource Planning (ERP) and Customer Relationship Management (CRM) systems to streamline operations and improve efficiency. According to a report by Accenture, organizations that fully integrate data automation with their business processes can reduce operational costs by up to 80%.

3. Trend 8: More Use of Real-Time Data Automation Real-time data automation is becoming increasingly important for organizations that must make decisions quickly. Real-time data can be used for monitoring and control of operations, as well as for predicting and preventing equipment failures. According to a report by Grand View Research, the global real-time data analytics market is expected to reach $16.87 billion by 2025, growing at a compound annual growth rate of 28.9%. Trend 9: Expansion of Data Analytics and Visualization Data analytics and visualization tools are becoming more advanced, allowing organizations to gain insights and make informed decisions based on their data. Grow’s Business Intelligence reporting suite uses Machine learning algorithms to analyze large datasets and identify patterns and trends. Our modern data visualization tools can be used to present data in a meaningful and accessible way. According to a report by MarketsandMarkets, the global data analytics market is expected to grow from $49.17 billion in 2018 to $103.15 billion in 2023 at a compound annual growth rate of 15.7%. Trend 10: Increased Adoption of Robotic Process Automation (RPA) Robotic process automation (RPA) is a technology that allows organizations to automate repetitive and mundane tasks, freeing up employees to focus on higher-level tasks. RPA can be used for data entry, cleansing, and migration tasks. According to a report by Grand View Research, the global RPA market is expected to reach $3.97 billion by 2025, growing at a compound annual growth rate of 31.1%. Conclusion In conclusion, data automation is a significant trend expected to grow in 2023 and beyond. Adopting AI, cloud-based solutions, IoT, and RPA will continue to increase, while data quality, security, and privacy will remain a top priority for organizations. The expansion of self-service data automation, real-time data automation, and data analytics and visualization will also contribute to the growth of data automation. To keep pace with the ever-changing trends, read along at Capterra grow.com. If your organization needs to stay up-to-date with the latest trends and technologies in data automation to remain competitive in today's data-driven business landscape, reach

4. us today! Using our Business Intelligence reporting tools your metrics will always be accurate since native integrations directly connect to the most popular platforms, databases, and CRMs through APIs that continuously import and refresh data.