Siteline Analytics for Automated Insights at Scale. Not Just Reports.

Siteline Analytics to integrate your data, analytics and operations to dynamically optimize your decisions at scale.

  • Link all of your data, objects and models together
  • Data and process mining for automation insights
  • AI-driven models and action orchestration to drive processes
  • Multi-temporal based reporting and analytics
Siteline data analytics platform screenshots

Key Data Analytics Platform Features

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Unified Data Management

Integrate, transform, mine, orchestrate and store your data in a single easy to use platform.
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Fully Automated Governance

Automated data management processes that remove manual efforts for profiling, anomaly and error corrections.
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Real Time Dashboards

Insight and predictive analytics dashboards embedded directly into applications with up to the moment insights.
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Self Select Prediction Modelling

Simply select inputs you want to include into the predictive analytics AI model to understand possible outcomes.
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Integrated Orchestration

Take the insight immediately to the place it needs to be through an integration process orchestration pipeline.
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Embedded No Code Integration

Full no-code data integration tool set to connect, acquire, cleanse and normalize data just the way you need it.
Ontology Mixing

Ontology Mixing

Combine data, models, structures, transactional and stateless environments within integrated tooling.
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Secure On-Premise Connection

Secure and seamless connectivity with on-premise enterprise applications and systems.

Unified Data Analytics

Bring together the data needed to drive decisions and turn it into the best possible outcome in a single solution.

The centralized data analytics solution enables people to make the best possible decisions by:

  • Centralizing the data needed to make the best possible decisions
  • Applying data mining and AI models to help identify the optimal outcome
  • Turning the outcome insights into events and feeding it directly into the process to orchestrate smoothly
Put It Forward Predictive Analytics Workbench

Automated Data Discovery

Powerful data management tools that enable the user to move quickly, dig deep into the data and scale results.

  • Build automated data health and quality managment directly into the places where data needs to worked on.

  • Quickly profile large data sets to understand data health which is used to drive decision outcomes.

  • Identify hidden correlationships in the data sets which impact outcomes and decisions.

Siteline Data Analytics Profiler
Siteline data analytics process architecture

Integrated Data Architecture

An integrated data architecture that simplifies the end to end management so you can quicly scale the results and create new efficiencies.

  • Hybrid and multi-cloud architecture that enables you unify data in the cloud and on-premise

  • Unified data management functions that integrates, transforms, orchestrates and models your data in a single easy to use platform

  • Best price performance that brings you the efficiencies of a unified platform at the scale of individual services

Discover How Businesses Benefit with Put It Forward

Revenue Generation

70-80% sustained gain in revenue

Shorter sales cycle and high-value opportunities

Risk Mitigation

10X accuracy lift in decision-making

Prevented customer churn and revenue losses

Integration Platform

> 80% achieved 3 month ROI

Streamlined workflows and tasks, faster delivery to market

Successful organizations use the
Put It Forward data platform

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Common Data Analytics Platform Use Cases

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Personalization At Scale

Problem: While experience data is becoming more granular it is also becoming increasingly fragmented and distributed across the enterprise making it impossible to create personalized end to end interactions.

Solution: Aggregate and unify experience data into a single environment that can be used to create the comprehensive view of the user, product or service being offered.

Result: An up to the moment complete view of the user that can be used to power interactions across your entire business platform.

Simplified Pricing and Cost Savings

Platform Cost Reduction

Problem: Data platforms can be expensive and slow when dealing with component solutions from multiple clouds, to data quality, to staging and to production deployments.

Solution: Merge and analyze data from multiple different sources in a single data environment that is equiped with all the tools needed.

Result: A unified data story that can be used to power the entire enterprise and drive high quality decisions at scale by unlocking trapped value.

Predictive Insights

Data Insights and Predictive

Problem: Real time insights that represent cross channel, system and product events are impossible without integrated algorithms that can reach into the underlying sources. 

Solution: Trained models and algorithms that see into the underlying systems in parallel to aggregated data within the platform allow you to create insights that span the end to end data stack.

Result: Data values are unlocked for all participants from those on the frontline to the backoffice and support.  Now you can expose your insights to anyone in the organization.

Take a 2-Minute Demo Tour

Learn How To Achieve Success with AI Tools

How Professionals Identify The Best 'New' Customer

Read how to increase revenue with AI and predict customer preferences and buying patterns. Easily understand what the customer wants.

How Predictive Customer Lifetime Value Drives Revenue

Understand how to use predictive customer lifetime value to gather historical data, get more sales, and increase customer retention. 

Forecast Revenue Churn Calculator

Try the ROI Forecasting Calculator to check how much return on Predictive AI investment you will get. Estimate how much saving can bring the use of AI predictions in your organization. 

Request a quote for your project

Just send us a quick form with brief project details or talk directly to our expert

Understand Your Data Context - Why Choose Put It Forward?

  • Automation capabilities, security, governance, monitoring, and explainability

  • No-code predictive model building, AI for customer engagement

  • Easily ingest, prep, and versioning any form of data

  • Supports multi-cloud deployment scenarios

  • Supports the full ML lifecycle tools

  • Management from multiple clouds, SaaS, applications, and services

Put It Forward Data Platform Components

Scale your business, increase revenue with AI for customer engagement

Put It Forward Platform Manager

Platform Manager

Automate and orchestrate the components of your platform from a single workspace.
Put It Forward Integration Designer

Integration Designer

Code-free design that delivers codeless integration, business rules and data transformations.
Put It Forward Data Governance Module

Data Governance

Report at any moment in time what is happening with your data.
Put It Forward Predictive Analytics

Delphi - Predictive

Built-in predictive analytics and insights that you can control directly.
Put It Forward - Foresight Embedded Analytics

Foresight - Insights

Embedded 360 degree insights of an account, contact or member.

Frequently Asked Questions about predictive AI

What are AI tools for data analytics?

There are multiple AI tools for data analytics, visualization, and monitoring. With their use, organizations can obtain cross-platform insights and make more accurate executive decisions driving revenue to the organization. 

AI-based data insights software by Put It Forward will help business owners and employees analyze high volumes of data faster, identify customers' preferences and needs, and predict their next step to engage effectively.

What is predictive AI?

Predictive AI is a type of artificial intelligence that is used to make predictions about future events and trends. 

Artificial intelligence predictive analysis systems are trained on historical data in order to learn how to make predictions about future events. With the use of the solution by Put It Forward, business leaders can make accurate AI revenue forecasts, identify new opportunities, and increase the quality of their decisions using actionable insights.

What technology is used for predictive analytics?

Predictive analytics is a field of data analytics that uses historical data and innovative techniques to forecast future events and conduct advanced data analysis

Predictive analytics uses a variety of data sources, including financial, customer, and behavioral data. Predictive analytics techniques include regression analysis, time series analysis, machine learning, and artificial intelligence software.

Predictive no-code data analytics can be used to forecast a variety of events, including customer behavior, product demand, or financial market trends. It improves decision-making, by providing organizations with better information about future events.

Is artificial intelligence solution the same as predictive analytics?

What’s the difference between artificial intelligence and predictive analytics? Predictive analytics is a branch of AI that deals with making predictions based on data. AI, on the other hand, is a much broader term that covers a wide range of technologies, including machine learning, natural language processing, and robotics.

How to use predictive AI for marketing?

There are a few different ways of using predictive AI for marketing. One way is to use it to predict what customers are likely to want or need in the future, and then create marketing campaigns that target those needs. 

Another way is to use AI-based market prediction to segment customers into different groups so that marketing efforts can be better targeted. Moreover, predictive AI for marketing can be used to personalize messages for each individual customer based on their predicted behavior, and perform AI revenue forecast.