Organizations are constantly trying to streamline and optimize business data to solve complex problems and identify opportunities to increase revenue and accelerate business growth. The data is usually stored in multiple systems with various data governance rules, which makes it complicated to democratize data and analytics within an organization. The most pressing concerns cited by participants in our Analytics and Data Benchmark Research include difficulty integrating with business processes, systems not flexible or adaptable to change and challenges accessing data sources.
Domo Business Cloud is a BI software platform that enables workers to accelerate critical processes dependent on business intelligence data. It offers several solutions, including data connection; data warehouse; extract, transform, load; data discovery; analytics; collaboration and data visualization. Domo was rated an Exemplary Vendor in our 2021 Analytics and Data Value Index.
Collaborative decision-making enables organizations to ensure that the analytic processes result in actions that improve overall operations and better streamline processes. Our research also shows the importance of collaboration within organizations, where two-thirds (68%) of participants consider collaboration important or very important. We assert that through 2025, one-third of organizations will replace legacy business intelligence tools and establish analytic platforms that are collaborative, utilizing natural language as the method to inform and guide business professionals.
Organizations that have data stored in multiple systems and are looking to streamline data processes using cloud-based BI should consider Domo. It enables workers to generate data insights and actions, and helps organizations build team applications quickly. It offers the capability to integrate existing systems, BI and workflows into apps that enable organizations to improve operations and automate processes. It also offers machine learning algorithms, natural language processing, predictive analytics and other artificial intelligence technologies.
Regards,
David Menninger