SmartStreams is a Data-Driven Project Management Platform that supports and enforces an appropriate methodology and collaboration between project teams.

Data Science project fails because:

  1. Insufficient, Biased, or Conflicting Data

  2. Understanding the Business and Business Problem

  3. Poor communication and lack of transparency

  4. Lack of Standardization

  5. Poor Project Management

  6. Excessive Focus on Technology

  7. Development Methodology

SmartStreams features

  1. Supports CRISP-DM, TDSP and CPMAI methodology.

  2. Supports Business understanding, Data understanding, and Data Preparation stages.

  3. Provides tools for:

    • Data Exploration algorithms, including UCC, Functional and Inclusion Dependencies, Denial Constraints, and  Schema Normalization.

    • Pre-build transformations for ​dimensionality reduction.

    • Provides built-in tools for data re-engineering.

    • Data Security

      • Personal and Sensitive Data discovery and management

      • Data Masking

      • Data Encryption

    • No programming required.

  4. Profiles Management and compliance validation.

  5. Generates Statistical Data Samples using several sampling methods.

  6. Data Validation Rules Management at Entity and Product level.

  7. Applies and Monitors Data Validations Rules on input/output Entities for each job that access Data.

  8. Built-in connector for Talend Data Preparation and Data Stewardship modules.

  9. Built-in connector for Version Control and CI/CD tools.

 

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SmartStreams_Intro
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SmartStreams_Intro

SmartStreams Case 2
02:48
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SmartStreams Case 2

The problem we solve ...