Engineering the Enterprise Data Backbone with Actowiz Solutions Discover how Actowiz Solutions delivers granular raw DSA datasets for advanced analytics, empowering enterprises with real-time digital shelf and regulatory intelligence.
Introduction In the era of AI-driven decision-making, the quality of insights is directly proportional to the granularity of the underlying data. Actowiz Solutions recently partnered with a global analytics firm to develop a Decision Support Analytics (DSA) framework. By bypassing aggregated "black-box" metrics and instead delivering raw, atomic data from 500+ global marketplaces and transparency repositories, Actowiz enabled the partner to build custom value-added models for churn prediction, competitive pricing, and regulatory risk assessment. The Atomic Data Advantage: Why Granularity Matters Most data providers deliver "pre-packaged" insights—processed averages that hide the very anomalies that drive competitive advantage. Actowiz Solutions operates at the atomic Level, providing the raw signals before they are sanitized. A. Digital Shelf Analytics (DSA) at the Atomic Level For brands, the "Digital Shelf" is a battlefield. Actowiz extracts the most minute data points: •
Raw Search Rank: Not just "Page 1," but the exact pixel position and "Share of Search" against specific competitor SKUs.
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Dynamic Pricing Signals: Every price change, no matter how small, timestamped to the minute to detect algorithmic pricing patterns of competitors.
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Hyper-Local Availability: Stock status mapped to specific zip codes and "Dark Store" locations to identify supply chain gaps.
B. Regulatory DSA Data (Digital Services Act) With the EU's Digital Services Act (DSA) mandates, platforms must now disclose content moderation and ad transparency data. Actowiz enables enterprises to: •
Extract raw Ad Transparency Repository data to monitor competitor ad spend and creative strategy.
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Monitor Statement of Reasons (SoR) data to assess brand safety and content risk at scale.
The Actowiz Solutions Framework: Raw Data to Advanced Analytics Actowiz Solutions functions as the "Data Backbone," handling the heavy lifting of extraction while you focus on the "Value-Add" analytics layer. Phase I: Multi-Source Extraction We utilize advanced Enterprise Web Scraping techniques, including headless browser clusters and AI-based proxy rotation, to pull data from sources often guarded by sophisticated anti-bot systems. Field Name
Atomic Value
Description
Product_ID
SKU-99812-AZ
Unique Identifier.
Source_URL
amazon.com/dp/B08XXXXX
The exact source page for auditing.
Timestamp_UTC
2026-01-09T14:22:01Z
Precise moment of capture.
Raw_Price
$24.99
Current list price.
Promotion_Tag
Lightning Deal: 15%
Atomic promo data (not just "On Sale").
Organic_Rank
3
Position in search results for keyword "Organic Coffee."
Buy_Box_Winner
Third-Party (Seller X)
Identifies who owns the sale at that moment.
Inventory_Signal
< 10 units left
Exact stock warnings used for urgency modeling.
Phase II: Atomic Structuring
Data is delivered in its most raw form but is technically "structured" (JSON/XML) to ensure your analytics engine can ingest it immediately. We maintain the original source integrity, allowing your data scientists to perform their own normalization. Phase III: Seamless Delivery Actowiz integrates directly with your tech stack via Real-Time APIs, S3 Buckets, or Snowflake/BigQuery connectors. Sample Data: Atomic DSA Dataset Below is an example of a raw, granular record provided by Actowiz Solutions for a Digital Shelf Analytics use case: Value-Added Use Cases for Brands & Enterprises By accessing this raw data through Actowiz Solutions, your agency or enterprise can develop: •
Predictive Out-of-Stock (OOS) Models: Using historical stock-out patterns to predict future inventory failures before they happen.
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Competitor Pricing Alarms: Real-time triggers that alert your pricing engine the millisecond a competitor drops their price.
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Share of Voice (SoV) Heatmaps: Geographic visualizations of where a brand is winning vs. losing visibility across various retailers.
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Sentiment Trend Forecasting: Aggregating raw review text to identify emerging "product defects" or "feature requests" months before traditional market research.
Partnership Feasibility & Pricing Feasibility: Actowiz currently processes over 5 million pages daily. We are fully equipped to handle high-frequency, high-volume requests for nationwide or global coverage. Timeline: •
Feasibility Audit: 48 Hours.
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Custom Pipeline Development: 5–7 Business Days.
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Initial Data Load: Within 10 Days.
Pricing Model:
We offer a Scalable Data-as-a-Service (DaaS) model. Pricing is volume-based, typically calculated per 1,000 records or per "Site Tracked." For long-term partners, we offer dedicated resource models (Managed Data Teams). Conclusion: Building the Future of Intelligence The next generation of business intelligence will not be built on static reports, but on raw, real-time, atomic data streams. Actowiz Solutions provides the precision and scale necessary to turn raw web signals into a formidable competitive moat.
