Business process analytics with the Lavastorm Analytics Engine

Business process analytics play a vital role in driving customer growth, top-line revenue, and operational performance gains. The biggest challenge arises from the practical reality that identifying the “right” analytics may not be obvious or known considering the complexity of the process that needs to be analyzed, and the number and diversity of the required data sources.

Lavastorm Analytics Engine (LAE) provides a powerful, visual and versatile environment to address these challenges for a wide range of business performance and business process analytics. It creates an unparalleled ability to drive improvement through the use of over 100 configurable analytic building blocks that analysts assemble, execute and re-use, to perform both ad-hoc analytics and persistent automated controls.

LAE is utilized both as a stand-alone analytic platform and as the cornerstone of the Lavastorm Analytics Platform, providing essential data federation and rules-based analytic capabilities to other Lavastorm products.

Visual, agile development environment replaces lengthy and expensive coding-based, waterfall development efforts with rapid, interactive configuration, speeding deployment to improve business processes analytics
Analysts collaborate with subject matter experts to quickly and easily model and validate data through business processes analytics, working together to discover hidden risks and patterns, and apply the conditional business logic to emulate the actual operation
InFlow reporting provides point-specific graphical outputs within the analytic itself, speeding understanding of the data and highlighting areas needing deeper inspection
On-demand federation across data sources and formats avoids the need for new data warehouses or pre-analytic data consolidation, creating rapid analytic value with minimal IT dependency
Incremental scalability to seamlessly transition from discovery to ad-hoc analytics to automated controls within one environment, cost-effectively adding processing capacity as it is needed
Correlating data and rules across a process enables the logical root cause analysis needed to quickly solve complex problems, maximize cash from new and established business streams, optimize operations, minimize business risk, and enhance customer experience

Features

The LAE Data Flow Analyzer

For technical and non-technical users, the platform's graphical business rules editor offers a flexible visualization environment to create and communicate business logic. The Data Flow Analyzer allows you to take an iterative and collaborative approach to analytics design that promotes ease of use and rapid problem discovery – up to 90% faster than SQL

The Lavastorm Analytics Library and Graphical Design Editor

Central to the LAE is the Lavastorm Analytic Library (LAL), a collection of more than 100 business controls, or nodes, that are pre-packaged building blocks of analytic functionality. The Graphical Design Editor enables node design, execution, and test in near real-time, promoting ease of use and rapid time to execute. Visit the Lavastorm Analytics Library page for more information.

Trace Field

360° degree data discovery promoting rapid root cause analysis and speed to resolution in your business process analytics

Source-agnostic Data Acquisition

Adaptable schema allows any data to be read, used and re-used from multiple systems and in multiple formats, reducing cost and risk

Graphical InFlow Reporting

Immediate visualization of results provides continuous checkpoint feedback, ensuring that results are accurate, trusted and meaningful

Analytic Graph Libraries

Technical and non-technical users can share and re-use existing graphs for cross-functional collaboration that reduces cost and lowers risk

Which product is right for you?

Trying to choose between the enterprise edition Lavastorm Analytic Platform (LAP) and its single user version, Lavastorm Desktop Professional (LDP)? While LDP and LAP are essentially the same software with the same functionality, certain capabilities are only available with the enterprise LAP, including:

Scalability	Collaboration	Extended Data Acquisition	Automated Controls
Where LDP is restricted by the processing power of the user’s laptop or PC (typically under 20 million records/day), LAP scales to analyze billions of records per day	LAP enables users collaborate interactively on the design and configuration of their analytic graphs against a shared data set	LAP is required to utilize LDA (Lavastorm Data Acquisition Module) to acquire complex structured data such as ASN.1 and COBOL data	LAP supports the evolution from ad-hoc analytics to fully automated controls through ‘lights out’ scheduling analytic execution