Synapse Labs Inc

Synthetic Data is the new Soil

Innovate or...

Our Leadership Team

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Synapse Labs

Solutions

Enterprise Pain Points

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Business Teams

Sample Use Cases

Analyzing Payment Delays using Remittance Data

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Discovery

“What are the top 3 most impactful questions I can ask to improve collections and manage cash flow?”

AXIO

“1. What are the patterns in payment delays, and how do they correlate with client attributes and transaction details?”

2. Which clients have the highest discrepancies in invoiced amounts versus received payments, and what are the common characteristics of these transactions?

3. How does the choice of payment method impact the speed and reliability of cash flow, and are there particular methods that correlate with quicker processing times or fewer errors?”

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Conversion Analysis using Website Clickstream Data

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Insights

“Give me the top segments that would help me get a nuanced understanding of user behavior on our website.”

AXIO

“1. High-Value Returning Visitors

Criteria:

UserStatus is Returning.

Incremental increase in TotalVisits.

High SessionDuration and substantial TimeOnPage.

High engagement with Email Opt-in or Interactive Quiz (ClickURLs).

2. ...

”

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Technology & Data Teams

Sample Use Cases

Analyze Effectiveness of Ad Targeting

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Synthetic Data

“As a data scientist in digital advertising, I'm hindered by the inability to access and compare ad targeting data across platforms like Google, Meta, and Snap, due to their distinct data schemas and strict privacy regulations.”

AXIO

Creating a Unified Dataset: Synthetic data to mimic the ad targeting attributes from various platforms such as Google, Meta, and Snap, while maintaining a consistent schema.

Experimentation and Simulation: With realistic synthetic data, researchers can simulate the outcomes of different ad targeting strategies across multiple platforms without needing access to actual user data.

Model Training and Validation: Synthetic data can be used to train machine learning models to predict the effectiveness of ad campaigns.

Privacy Compliance: Generating synthetic data that mimics real user behaviors and ad responses, without containing any personally identifiable information, adheres to privacy standards and regulations.

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Create Single Enterprise View of Customers

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Entity Resolution

“As Chief Data Officer, I’m facing a fragmented customer data landscape across Salesforce, ERP systems, and custom databases. We need to unify this data to create a single, comprehensive customer view while also forming specific groupings like households for Marketing, obligors for Credit, and individual entities for KYC. This precise segmentation is crucial for targeted strategies and compliance, enhancing our operational effectiveness and strategic decision-making."

AXIO

Automated Data Mapping and Normalization

Consolidate disparate data sources into a unified view, by automatically mapping and normalizing data to common target data model

Advanced Entity Resolution & Dynamic Clustering

Identify, link, and deduplicate records across multiple data sources to create a single, accurate view of each entity using sophisticated ML models. Beyond simple entity resolution, dynamically cluster entities based on specific business requirements (e.g., Marketing, Credit, KYC).

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Governance Teams

Sample Use Cases

Enhancing Data Governance: Integrating Data Documentation, KDE, and PII Management

Automatic Metadata

"As the Head of Data Governance, I’m confronted with significant challenges in managing our enterprise data. We lack comprehensive, high-quality documentation, which hampers our ability to effectively identify and manage Key Data Elements (KDEs) and Personally Identifiable Information (PII). This deficiency not only complicates compliance efforts but also undermines the integrity and reliability of our data systems.”

AXIO

Automatic Documentation

Automatically create detailed metadata for every piece of data within the enterprise, encompassing descriptions, domain classifications, and other relevant information.

Automatic PII & SPI Classification

Automatically classify data to identify personally identifiable information (PII) and sensitive personal information (SPI), marking them according to privacy standards and regulations.

Automatic Identification, Profiling, and Quality Checks of KDEs

Automatically identify Key Data Elements (KDEs) within enterprise datasets that are pivotal for achieving strategic business outcomes, and perform in-depth data profiling and quality checks to ensure integrity, accuracy, and completeness.

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Suspicious Activity Reporting for Financial Transactions

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Data Lineage

"As the Director of Data Governance, we're facing significant challenges with tracing and verifying the integrity of data used in suspicious activity reporting. Our lack of robust data lineage complicates compliance, extends audit durations, and risks non-compliance with regulatory bodies like FinCEN. Implementing an automatic data lineage system is crucial to map and visualize data flows, ensuring each data piece is traceable from its source. This is vital for enhancing our fraud detection processes, speeding up regulatory responses, and safeguarding our financial operations."

AXIO

Enhanced Traceability and Transparency

Automatic data lineage provides a clear map of where each piece of data originated and how it has been transformed or moved through the data pipeline.

Streamlined Audit Processes

Simplify internal & external audits by providing a comprehensive, visual representation of the data flow.

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