Data analytics enables to analyze all data (real-time, historical, unstructured, structured, qualitative) to identify patterns and generate insights to inform and, in some cases, automate decisions, connecting intelligence and action. Today’s best solutions support the end-to-end analytical process from accessing, preparing, and analyzing data to operationalizing analytics and monitoring results.
Data analytics allows organizations to digitally transform their business and culture, becoming more innovative and forward-thinking in their decision-making. Going beyond traditional KPI monitoring and reporting to finding hidden patterns in data, algorithm-driven organizations are the new innovators and business leaders.
With collaborative data analytics, companies empower everyone to contribute to business success—from data engineers and data scientists, to developers and business analysts, and even business professionals and business leaders. Collaborative data analytics also encourages those both inside and outside an organization to connect and collaborate. For instance, data scientists can work closely with a customer to help them solve their problems in real time using the highly collaborative UI of today’s modern analytics.