IBM Says Business Intelligence Users Can Tap Advanced Analytics, But Which Approach Fits Your Firm?
Business leaders want to see what’s coming, not just read reports on what happened last week or last quarter. That’s why there’s intense interest in predictive analytics. Predictive and statistical techniques have been a staple for insurance companies and big banks for decades, but more recently they’ve gained adoption in many other industries.
Spurred on by the success of the self-service business intelligence movement, vendors are moving into self-service analytics. IBM Watson Analytics is one of the products leading the trend.
IBM Watson Analytics is a cloud offering that starts with a free subscription and then evolves to paid tiers of service with more storage capacity, data-connection options, and collaboration capabilities. Watson Analytics is highly automated, providing “smart” recommendations for cleaning data, selecting visualizations and spotting predictive dimensions of data.
While there are many choices out there, your best-choice product will depend on the breadth of your deployment, the skill level of your users, and the nature of the decisions users are trying to support. Keep in mind that collaboration with data experts is desirable, as novice users need guidance and support in order to turn data into valid insights and better decisions.
Advanced analytics is a class of software that helps companies go beyond historical reporting to predict future opportunities and risks. Predictive analyses help organizations identify best customers, develop better up-sell and cross-sell offers, understand financial risks, choose new products that are more likely to succeed, and anticipate equipment failures. Until recently, advanced analytics were strictly the province of statisticians and data scientists, but that’s changing with the emergence of self-service options for analytics.
