Data Operations | Data Mavericks

With well managed data, you can make more confident decisions, bring about change without a lot of overhead and keep costs and security under check.

Data pipelines

Monitor the success of scheduled jobs
Track runtime and latency of pipelines
Track failures and retries to conduct root cause analysis

Data lineage

Maintain upstream and downstream lineages
Conduct impact analysis when making any schema changes

Data quality

Track anomalies in fill rates, distinct values, etc. over time
Ensure data integrity between tables based on primary and foreign keys
Match values against regular expressions to ensure data adherence

Data catalog

Maintain the semantic layer for all data
Monitor the schema for changes to the data structures
Manage data classification and retention in accordance with policies

Cost & Performance

Maintain descriptive tags to allocate storage and consumption costs to business units
Identify and rectify anomalies in cost or performance metrics over time
Optimize for cost and performance after accruing additional workloads

Security

Track access history to identify questionable activity
Manage data classification to ensure adequate data masking and tokenization is enforced
Monitor role-based and attribute-based data visibility

Real-world success stories proving the value of data-led strategy.

Regional Community Bank

Ensured compliance by generating and sending out loan application status in compliance with government regulated SLAs.

Popular children’s retailer

Reduced customer database by 78% with deterministic and fuzzy matching rules to identify duplicates

Reputed apparel brand

Stitched together Customer 360 and used that for personalized marketing increasing CLV and AOV.

Nationwide property manager

Reduced cost of asset maintenance with preventive workflows

Global industrial goods manufacturer

Gen AI chatbot for salespeople to have hundreds of thousands of products at their fingertips and search intelligently

Stay ahead with the latest thinking on data, AI, and innovation in banking.

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May 9, 2025

EDA in Snowflake for Dummies: Explore Smarter, Not Harder

Exploratory Data Analysis; Data Science

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5 baseline customer segments you should be tracking today.

Must have customer segments for every marketing department

Unlock growth and efficiency
with data and AI.

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