Business Artificial Intelligence and Cost Benefit Analysis

Business Artificial Intelligence (BAI) Cost-Benefit Analysis

IBM's Business Monitor offers comprehensive monitoring of enterprise activity for improving organizational agility. Its features include: customizable dashboards, alerts and notifications for providing an almost real-time look into company processes, operations, and transactions, for enhanced business insights. The software assists with identifying changing trends in business, issues, and opportunities, by statistically analyzing historical and present information. It offers:

Almost real-time analysis and estimates, which offer insights into the company's activities.

Automated alerts and notifications, which facilitate the process of responding to emerging issues and changing business trends.

Customizable dashboards, which present historical, present, and predictive data.

Visibility across different business systems, spanning various products and applications.

Global Business Services (GBS) is the professional services department at IBM; it includes the company's management consulting, application management, and systems integration resources ((TDWI -- Training & Research -- Business Intelligence, Analytics, Big Data, Data Warehousing, 2015).

Benefit-cost analysis when comparing IBM PureData analytics System and Hadoop for structured analytics entails the emerging technological trends like cloud, mobile, social, analytics, and IoT (Internet of Things). The analyses necessitate the presence of superior performing distributed systems for delivering actionable insights; for this, Hadoop is being increasingly utilized. But mounting information technology expenses, dearth of capable resources, and data security, are the weakness in Hadoop cluster deployment and operation in several companies. For addressing these challenges, companies need to deploy a reliable, economical, high-performance, agile, and convenient-to-use IT solution for delivering ideal business results. This constitutes the aim of IBM's PDA (PureData Analytics) System. The system includes numerous smart options aimed at elevating speed, scalability, and simplicity, for running complex analytics to attain improved outcomes. It calls for minimal tuning or ongoing administration, enabling reduced total ownership cost (or TCO) for clients. The TCO analysis (business costs + IT costs) presented, for three years, compares a Hadoop Implementation (Cloudera) with PDA for the following configurations -- large, medium, small, and enterprise. In regard to Hadoop, rather positive assumptions are employed. IT expenses cover procurement, implementation, maintenance, operations, provisioning, and facilities expenditures. Business costs encompass opportunity, productivity and downtime. When compared with Hadoop, customers who implement analytics in SQL using PDA are able to reduce TCO for every configuration. PDA-related IT expenditure is also lesser than that of Hadoop cluster in case of medium and small configurations. Furthermore, PDA reduces the difficulties of handling technological complexity, while continually lowering TCO. As a result, customers profit from increased income and profits, quicker TtV (Time to Value), potential increased innovation, and improved service/product quality (TDWI -- Training & Research -- Business Intelligence, Analytics, Big Data, Data Warehousing, 2015).