Flow Analytics - Automation Overview

What Is The Flow Automation Framework?

The Flow Automation Framework is a powerful agent-based architecture which allows for the deployment and autonomous execution of data integration, analytics, and reporting workflows.

Workflows are developed using Flow, then deployed to agents for autonomous execution. Agents are capable of performing any task, ranging from simple data aggregation to advanced artificial intelligence and cognitive computation.

Flow's agent framework allows for the autonomy of processes that are typically highly custom and often very resource intensive. Agents can automate the collection and cleansing of data, advanced calculations, hypercube computation and statistical analysis, dashboard and report generation, and more.

Flow's Agent-based Automation Framework allows you to:

  • Automate the collection of data
  • Automate the transfer of data
  • Automate data cleansing tasks
  • Automate data transformation tasks
  • Automate the monitoring of data
  • Automate hypercube computation
  • Automate statistical analysis
  • Automate report generation
  • Automate cognitive computation
  • Automate machine learning
  • Automate multidimensional analysis
  • Automate the distribution of data
  • Automate the delivery of results
  • Automate anomaly detection tasks
  • Automate text data analytics
  • Automate systems synchronization
  • Automate any business process
  • Automate forecasting and prediction
  • Automate clustering and classification
  • Automate computing new data points
  • Automate distributed computation
  • Automate notifications and alerts
  • Automate data summarization
  • Monitor automations through the cloud

Automate Integration, Analytics, Reporting and Dashboards at Scale

In todays business environment, data-centric operations are constantly increasing in complexity and demand new and innovative approaches to automation. Flow allows for any data analytics, reporting or integration workflow to be automated using its advanced agent architecture.

Automation requirements are translated into workflow actions using the powerful Cloud Connect editor. Workflows can handle all data retrieval, processing, and delivery tasks. Flow's configure-not-code environment allows you to develop and deploy highly custom automations which adapt to your specific business processes.

Flow's distributed computing capabilities using the remote agents allow for processing of large datasets on demand. As your data processing and automation requirements scale, Flow scales with it.

Flow allows you to automate every data analytics, reporting, and integration task within your business. Flow is designed to be extremely lightweight and requires no heavy IT infrastructure or setup.

Automate Data Preparation, Cleansing and Transformation Tasks

More than 90% of the work in data analytics, integration, and reporting is spent on the preparation and cleansing of data. Flow's agent architecture is capable of completely eliminating this burden and automating even the most complex of data cleansing or transformation tasks.

Flow's data transformation and computational engine is unmatched by any other platform or technology. Data transformation rules and data quality checks can be built into workflows for autonomous execution.

Flow can monitor any data source and automatically enforce data cleansing or transformation rules as part of the workflow. Flow can automate the joining and merging of data from disparate sources and the delivery of data to any end system.

Flow can call upon built-in artificial intelligence and cognitive computing capabilties to drive learned decision structures which can handle evaluating and automating the most advanced of your business-specific data quality tasks.

Automate the Delivery of Results

Flow operates on the construct of Results. Results are the structured output of workflows and consist of various elements such as reports, dashboards, data, hypercubes, statistics, views, analysis summaries, and more. Flow agents are capable of autonomously performing all tasks required to produce the results your business needs. Results are delivered through the Flow Cloud Portal and are automatically kept up to date as agents run their jobs.

Flow can automatically mantain feeding data to dashboards, computing and monitoring any important KPI's, automate the distribution of reports, and automate delivering any business critical view or information required by your organization. Flow's ability to automate the delivery of results ensures analysis objectives stay focused and translate into actionable output.

Automate Predictive and Prescriptive Analysis

Flow's high powered hypercube statistics engine allows any mathematical expression to be evaluated as part of an autonomous workflow. Agents can handle performing statistical analysis, forecasting, interpolating and imputing, predicting and prescribing, autonomously as part of their workflows.

Flow agents can automate decision making processes by using advanced machine learning techniques in an autonomous context. Flow agents support advanced decision structures such as decision trees, neural networks, bayesian models and more.

Any type of statistical function or algorithm can be developed in Flow, and distributed across agents to compute at scale. Flow agents can fully automate your business analysis tasks with minimal configuration and zero code.

Automate Cognitive Computation and Artificial Intelligence

Flow agents can directly interface with IBM Watson and MS Cortanas full cognitive computing suites. This allows state-of-the-art artificial intelligence functionality to be invoked as part of an autonomous workflow. Flow agents can use cognitive commands to reinforce decision structures and perform advanced AI-based analysis without having to write a line of code.

Any business looking to harness AI can do so directly using Flow with minimal complexity. Flow's autonomous artificial intelligence capabilities allow AI to be configured and integrated into all areas of your operations.

Harness Managed and Localized Agent Environments

Flow provides managed virtual agent environments out of the box. Workflows can be scheduled to run on our on-demand Azure servers with no setup required. This eliminates the complexity associated with software setup and lets you focus on implementation and achieving your automation objectives.

Flow also provides localized agents which act as autonomous computing nodes that can be installed and deployed anywhere you require. Localized agents allow for automated cluster computation as well as access to secure or local resources.

The combination of these managed and localized options allow you to deploy a network of autonomous agents to answer whatever data automation challenges your business may face.

Centralized Cloud-based Control

The Flow Portal provides for a centralized point of control across all agents and scheduled jobs. The Flow Portal centralizes the deployment and management of workflows across your agent cloud.

Agent-based automations can be monitored and run on-demand through a rich control interface. The Flow Agent Cloud emphasizes simplicity and power. Executing and monitoring your autonomous jobs is so simple that it can be understood by the average end user without compromising the technical power or flexibility expected by the engineers.

Real-Time Agent Cloud Monitoring

Flow's provides an interactive cloud-based agent monitor which allows you to drill into all aspects of your agent jobs. The Flow agent monitor picks up on the heartbeats of all deployed autonomous agents, giving instant feedback in the event that an agent goes offline.

All agent jobs are logged with multiple levels of detail. Flow's cloud agent monitor provides full audit capabilities and allows you to understand every movement made by your deployed workflows.