Make your Sales Planning and Forecasting A Delight

Create coverage models, balance territories, and drive quota allocations with leading Cloud based Platforms

Stay ahead of your competitors and drive profitability

When hitting your number is everything, you need to focus your team on the best opportunities and
know your quotas and incentives will motivate the right behaviors. Get ready for the new era of revenue operations planning.

Territory Planning

Leverage AI and intent data to optimize market coverage and maximize revenue potential across your territories.

Quota Planning

Use predictive insights to design data-driven quota plans that motivate sellers and align to overall corporate goals.

Sales Incentives

Keep sellers motivated with incentives and compensation plans that drive the right behaviors and improve attainment rates.

Sales Forecasting

Fill your pipeline with winnable opportunities and increase the accuracy of your sales and revenue forecasts.

Marketing Performance

Put your budget where the impact is ÔÇö in real time ÔÇö when you link revenue and audience engagement signals.

AI Driven Planning

Ignite your Sales Planning with AI insights

We work with all leading tech stacks

Our approach ensures that your data and AI Services are technically sound, closely aligned with
your business goals, and capable of delivering tangible value.

Data Visualization

SQL Server AWS Glue Azure Data Factory Kafka Airflow Spark NiFi Oracle Oracle

An agile approach to data analytics excellence

At ScriptStory, we transform your data challenges into business accomplishments, guiding you
from initial discovery to full-scale data empowerment.

Plan Design Build Analyze & Act Change Management
Inputs
  • Business objectives and strategy
  • Stakeholder requirements and expectations
  • Current data landscape and capabilities assessment
  • Budget, timeline, and resource planning
  • Regulatory and compliance needs
  • Roadmap and project scope from the planning phase
  • Identified data sources and formats
  • Requirements for data storage, security, and processing
  • User experience and reporting needs
  • Data governance and compliance guidelines
  • Detailed designs for data architecture, models, and ETL pipelines
  • Technology stack (e.g., databases, analytics tools, visualization tools)
  • Data sources and integration requirements
  • Testing plans and performance benchmarks
  • Clean, structured data from the build phase
  • Analytical models and algorithms
  • Business rules and KPIs
  • User-defined metrics and benchmarks
  • Analytical insights and recommendations from the previous phase
  • Stakeholder feedback and business goals
  • New business processes and strategic decisions
  • Feedback from stakeholders and users
  • Training requirements for new tools and processes
  • Impact assessment on existing workflows and teams
Outputs
  • Data analytics roadmap
  • Defined use cases and KPIs
  • Project scope and goals
  • Stakeholder alignment and approval
  • High-level architecture and technology selection
  • Regulatory and compliance needs
  • Data architecture design (e.g., data lake, warehouse, pipeline)
  • Data model design and schema definitions
  • ETL (Extract, Transform, Load) design specifications
  • Analytical models and visualizations design plan
  • Defined roles and responsibilities for implementation
  • Implemented data pipeline (ETL or ELT processes)
  • Data warehouse or data lake setup
  • Data models and structures populated with live data
  • Initial dashboards and reports developed
  • Initial quality and performance testing results
  • Analytical insights (descriptive, diagnostic, predictive, prescriptive)
  • Data visualizations, dashboards, and reports
  • Actionable recommendations based on analysis
  • Identification of trends, patterns, and anomalies
  • Feedback for further iterations or refinements
  • Data-driven decision-making and actions
  • Stakeholder engagement and communication plan
  • Training programs for users and teams
  • Adoption of new tools, processes, and workflows
  • Monitoring of success metrics and post-implementation reviews
  • Continuous improvement and adaptation framework

Benefits of work with Script Story

Intensive users of customer analytics are 23 times more likely to outperform their competitors
in new-customer acquisition than non-intensive users.*

Data-driven decision making

We dive into your businessÔÇÖs current way of working and competitive landscape to create a data strategy that aligns with your business goals and sets a path for seamless AI integration.

Customer experience

Our predictive analytics and custom AI solutions are tailored to forecast market changes, automate processes, and revolutionize customer experiences.

Risk management solutions

From automating the mundane to deploying cognitive computing applications, we streamline your operations, leaving error and inefficiency behind.

Our Insights

Insight11

Data governance and compliance

In a world where data privacy is paramount, we champion robust data governance and ironclad compliance with GDPR, CCPA, and beyond.

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Insight12

Marketing and sales

Lorem Ipsum has been the industry's standard dummy text ever since the 1500s, when an unknown printer took a galley of type and scrambled it to make a type specimen book.

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Insight13

Financial data monitoring

Lorem Ipsum has been the industry's standard dummy text ever since the 1500s, when an unknown printer took a galley of type and scrambled it to make a type specimen book.

Read More
Insight11

Data governance and compliance

In a world where data privacy is paramount, we champion robust data governance and ironclad compliance with GDPR, CCPA, and beyond.

Read More