The Analytics Maturity Curve breaks down the past, present, and future of analytics into five phases. From descriptive to predictive to cognitive and everything in between, finding the phase that’s right for your business depends on your unique needs.
The Analytics Maturity
Curve gives you a quick
“at-a-glance” view of
each of the phases.
Relies on mined historical data to find out, “What happened?” This approach references spreadsheets and simple BI reporting tools using relational database management systems (RDBMs), online analytical processing (OLAP), and early data warehouse capabilities.
Uses drill-down discovery and data mining to learn, “What happened and why?” This technology, while still basic, goes a step further to investigate the cause by using OLAP and basic BI tools again, as well as enterprise data warehouse and in-memory databases.
Combines historical data with rules and algorithms to discover, “What will happen, when, and why?” This phase commonly uses the Apache Hadoop* framework, Apache Spark* engine, Trusted Analytics Platform (TAP), and in-memory computing technologies. Machine learning plays a large part by creating unique algorithms from data sets to build models for advanced analytics.
Leverages big data, algorithms, and business rules to answer the question, “What should happen?” Relies on machine learning and deep learning in addition to statistical learning frameworks and data lakes.
The future state of artificial intelligence—or AI—that involves human-like decision making. Approaches creating a completely automated enterprise by offering new levels of machine intelligence with self-learning capabilities.
Machine Learning:
Technology that learns
independently, develops
intuition, and creates unique
algorithms from data to
build models that advanced
analytics relies on.
Building a Solid Foundation
No matter where your business is on the Analytics Maturity Curve, Intel can help you move forward with the right infrastructure.
The Intel® Xeon® processor E7 family features real-time analytics, in-memory solutions, and mission-critical, scale-up business processing with the proven reliability to handle any workload.
The Intel® Xeon® processor E5 family delivers the performance and efficiency to handle the widest range of scale-out data analytics frameworks, with support for an agile cloud architecture and highly efficient traditional workload management.
The Intel® Xeon Phi™ processor is a foundational element of the Intel® Scalable System Framework and is designed for machine learning, as well as reliable and efficient high-performance computing (HPC) workloads.
Start building your data-driven business today.