Siteline Analytics to integrate your data, analytics and operations to dynamically optimize your decisions at scale.
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:
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.
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
Successful organizations use the
Put It Forward data platform
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.
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.
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.
Learn How To Achieve Success with AI Tools
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.
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.
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
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.
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.
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.
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.
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.