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Advanced Data Analytics

Embrace Your Digital Transformation Path to manage changing demands and meet future needs

KNOWLEDGE PARTNER

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Driving Transformation

The ASQ-Praxis Value Alliance for Data-Driven Excellence

The strategic alliance between the American Society for Quality (ASQ) and Praxis Value empowers organizations with advanced data analytics solutions that drive transformation across all business dimensions. By integrating ASQ’s quality expertise with Praxis Value’s analytical innovation, this partnership provides a comprehensive view of past performance, current status, and future opportunities, ensuring data-driven decisions that are both impactful and quality-assured.

Specializing in machine learning, artificial intelligence, and business analytics, the collaboration enhances operational efficiency, profitability, and risk management while unlocking the full potential of data assets. The partnership also enables businesses to transform traditional models, develop analytics-driven revenue streams, and gain a competitive edge in an increasingly data-centric market.

With a focus on delivering reliable, high-quality solutions, the ASQ-Praxis Value partnership ensures that organizations navigate complex data landscapes effectively, achieve sustainable growth, and emerge as industry leaders in analytics excellence.

We approach milestones that governs practical Cost Reduction Initiatives

Defining the long-term success and evolution of most industry value chains.

We Make Your Data Work for you

Synergic growth under different business scenarios to be truly transformative

What we deliver

Data Quality & Governance

Data Quality & Governance

Data as a Strategic Asset Master Data Management
Predictive Intelligence

Predictive Intelligence

Predictive Intelligence

AI & ML powered Analytics Predictive & Prescriptive Analytics
Business Intelligence & Visualization

Business Intelligence & Visualization

Business Intelligence & Visualization

“Beyond the Dashboard” Power BI and Tableau

Industries we serve

Our Methodology

Our approach includes a strong foundation of technology enablement, strategic advice and risk management.

Develop winning business growth strategies

  • Understand the Organizations Risk Demand
  • Align data reporting Governance Framework
  • Capture requirements and priorities
  • Assist with data collection processes

Technology into business strategy and operations

  • Identify, Define, Publish & Control Data
  • Clean the structure the data
  • Apply improved data and Quality Controls
  • Provide Insight, Analysis & Dimension Capabilities

Risk Management & Compliance

  • Assess Current Data & Quality Controls
  • Bridge the gap between Business needs & Flexibility
  • Control Framework with Industry & Regulatory Compliance
  • Implement Risk Management Processes

What to Expect

Praxis Value helps retail businesses use data about shoppers, transactions, and categories to predict the future. This helps them increase transactional volume and customer profitability, cut supply chain costs, and improve store operations.

Improve capacity planning by gaining a thorough understanding of supply chain performance and hazards. Instead, use powerful prediction algorithms to eliminate or reduce sample testing wait times.

Instead, use powerful prediction algorithms to eliminate or reduce sample testing wait times. Instead, use powerful prediction algorithms to eliminate or reduce sample testing wait times.

Improve product quality and total yield across batch and continuous operations by applying artificial intelligence to forecast off-spec products more efficiently than previous approaches. Remove all potential sources of human or instrument error.

AI/ML will be used to develop an anticipatory approach to customer demands and preferences that will transform their omnichannel experiences. Real-time AI-generated projections and customised services based on insights.

The primary motivators for creating new work-spaces are flexibility, cooperation, and communication. The three key factors that are impeding the adoption of AI applications are Culture, Complexity, and Self-assurance.

Proven Outcomes

Reductions in Maintenance Cost
0 %
Improvement in workforce Efficiency
25 %
Reduction in Unplanned Downtime
0 %

Client Results - Case Study

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Industry – Paper Industry

Predictive Asset Maintenance

Client was facing due to the high production losses due to the high number of issues & stoppages in the machine. Also, to remain competitive, it needed to improve its manufacturing facilities to reduce cost, increase capacity and innovation to remain competitive. Primarily they required a process for proactive monitoring to address the business needs…

Core Competencies

WHAT CAN WE HELP YOU ACHIEVE?

You are on the way to the easiest business growth ever. Don’t hesitate and reach us today to change the future