Disruptions are no match for the power of connected supply chain planning

Get ahead of change and take control of your outcomes with resilient supply chain management.

Unlock end-to-end supply chain visibility

When it comes to your supply chain, the most precious resource you have is time.
Make every second count with real-time, proactive supply chain management.

Demand Planning

With greater agility and data-driven insights, youÔÇÖll anticipate your customer expectations and better understand your demand.

Supply Planning

When you can dynamically allocate employees, materials, and production capacity across your supply chain, you can plan smarter and act faster.

Sales and Operations

Unite your sales and operations planning efforts and start making faster, more profitable decisions.

Procurement

Drive collaboration with suppliers and improve the economics of your direct materials sourcing.

Spend Analysis

Align financial planning with cloud-native spend analytics to identify hard-dollar cost savings

AI for Supply Chain

Incorporate AI & data science solutions along with Anaplan powered planning

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