Enhancing Enterprise Data Management
Empower business leaders with deep insight of their data ensuring quality and trust with the data they use. Global IDs offers highly automated scalable capabilities to help you search for relevant data, analyze and classify data easily.
The Situation
Analytics, Reporting and Dashboard are crucial to every business to enable the business to make quick decisions based on data. Data needs to be accurate and relevant. Data sources often are incomplete or non-conforming to standards leading to unreliable reporting and analytics. Over time data fields contextual meaning changes causing additional challenges in modeling.
The Situation
Analytics, Reporting and Dashboard are crucial to every business to enable the business to make quick decisions based on data. Data needs to be accurate and relevant. Data sources often are incomplete or non-conforming to standards leading to unreliable reporting and analytics. Over time data fields contextual meaning changes causing additional challenges in modeling.
Global IDs Methodology
Global IDs Data Evolution Ecosystem Platform (DEEP) automates data governance by building a comprehensive knowledge of where data is, what it is, and how it flows, gaining control of the data from the bottom up.
How It Works
Understanding the data that drives your enterprise – where it is, what it is, and its state of integrity. This is the first step toward getting control of enterprise data.
Business Glossary
Centralized source of business terms
Controlled Vocabularies
Contextual Meaning
Metadata Management
Understand data in the context of how you run your business
Search and Find the data you need quickly
Manage and Understand Change
Profiling
Instant ability to understand quality
Deep Statistical Analysis
Avoid misuse of data
Classification
Identify sensitive data using ML
Classify Critical Data Elements
Organize data according to business context
Quality
Assess quality of data
Scope Impact of Issues
Monitor to ensure consistency
Control Critical Data Accuracy
Retention
Optimize your data footprint
Validate compliance with policy
Scope and Prioritize Remediation
Listen to our Podcast
Episode Details
In this episode of Bloor InAudio, Dr. Arka Mukherjee, CEO of data management software company Global IDs joins Bloor Research Senior Analyst Andy Hayler and host Elizabeth Hotson BBC presenter and journalist, to look at the key role data lineage plays in ensuring data quality across an organisation.
The team discuss the following questions:
- What is Data Lineage
- Why is Data Lineage Important?
- Why should we be focussed on Data Quality?
- How are Global ID’s product bringing benefits and solutions to the Marketplace.
Use Cases
Profile Data to easily identify “useful data”
Discover and Profile Data with Lights Out Scanning
Compliance and Quality through Trusted Data
Compliance and Impact Analysis with Data Lineage
Compliance and Optimization with Data Retention
Profile Data to easily identify “useful data”
What Is Data Profiling?
Data Profiling is the process that analyzes data and collects metadata so a data steward can understand structure and quality. As a result, you can define standards and quality rules to determine accuracy and completeness. Global IDs automatically recommends rules optimizing the data steward’s workload.Why Does Data Profiling Matter To You?
Proactive Valuable Insight: Analyze vast quantities of data for completeness, inconsistencies, errors, anomalies before determining if the data is fit for purpose with respect to reporting, analytics or dashboards.
Productivity Gains: automated recommendations allow data stewards to
establish standards and builds column level quality rules out of the box.
How This Benefits GoodData Users
Feature 1
: Immediate insight into the quality of data sources targeted for use in reports, analytics and dashboards. Enables the users to ensure data is trusted before consumption.
Feature 2:
Automated rule generation with machine generated recommendations streamlining data steward activities and establishing standards.
Discover and Profile Data with Lights Out Scanning
What Is Lights Out Scanning?
Lights Out Scanning is an automated approach to enterprise Discovery through scanning of databases without human intervention. It stores all metadata in a single repository collected from varied databases across the business and notifies you of any changes.Why Does Lights Out Scanning Matter To You?
Automated Search:
No human intervention required . One time access.
Metadata level scan – discover and harvest metadata
Fingerprint Generation:
Identify unique characteristics of columns required for classification and lineage
DEEP Scan:
Combination of the above two steps along with statistical profiling
Schedule scans to offload load on peak hours.
Perform post-scanning activities including Classification, Lineage and Privacy automatically.
How This Benefits GoodData Users
Feature 1:
Automated approach to gain insight into quality and completeness of data sources. Locate the data you need quickly saving crucial time for data consumers.
Feature 2:
Proactive notification of changes to source data.
Feature 3:
Centralized inventory of metadata that enables your organization to understand usage patterns and optimize practices.
Compliance and Quality through Trusted Data
What Is Trusted Data?
Trusted data is data that ensures compliance with policy and regulation and meets acceptable data quality thresholds for use.Why Does Trusted Data Matter to You?
Companies are making critical decisions throughout the day that must rely on trusted data. This however is not often the case and companies find themselves questioning data used to drive decision making only to find out the source(s) used may not have been optimal for their purposes.Companies must comply with specific regulation requirements especially in the case of Know Your Customer. Ensuring Customer Data is accurate and complete is challenging and can lead to non-compliance fines and even more detrimental can provide a poor customer experience.
How This Benefits GoodData Users
Feature 1:
Easily identify critical data and generate predictive data quality rules to standardize formats and policy requirements.
Feature 2:
Confidence in data used for analytics and reporting is high quality and pulled from authoritative sources.
Feature 3:
Monitor quality to ensure consistency and reliability are maintained. Early alerts to any potential change in critical data used for reporting and analytics.
Compliance and Impact Analysis with Data Lineage
What Is Data Lineage?
Data Lineage is the process of tracking and visualizing the flow of information across the data ecosystem. Tracking data from its origination to its consumption.Why Does Data Lineage Matter To You?
Data Lineage is important as it helps track the following:Regulatory Demands:
Adhere to regulatory compliance and specifications relevant to its business processes.
Operational Forensics:
Detect transformation of data along the way-how the data was transformed, what changed, and why. This allows companies to Track errors in data processes.
Impact Analysis:
Understand the life cycle of data from the point of origin to its destination. This allows companies to quickly determine impacted objects for root cause analysis and change management scoping.
How This Benefits GoodData Users
Feature 1:
Understand data flow for critical data points used in analytics and reporting. Important for trusting the data used is relevant and managed appropriately for its purpose.
Feature 2:
Quickly identify root cause for data quality issues.
Feature 3:
Evaluate impact of change comprehensively so the full scope is understood. Supports efficient and effective decision making.
Compliance and Optimization with Data Retention
What Is Data Retention?
Data Retention is the process that helps organizations gauge the age of databases and verify their compliance with data retention policies.Why Does Data Retention Matter To You?
Companies rely on a growing range of devices, data sources and applications to compete in today’s evolving business environment. Range of information created, accessed and retained affects how companies organize their data and retain information. Companies must comply with specific regulation requirements related to how long certain data can be retained. Non-compliance can lead to significant fines. Ensuring data is accurate is critical to everyday decision making. Data that is retained and accessible but has not been maintained leads to data usage that may not be fit for its purpose and unreliable.How This Benefits GoodData Users
Feature 1:
Ability to remain compliant with retention requirements and ensure users are not accessing data that is no longer relevant.
Feature 2:
Improve performance of data processing and maintain a manageable data ecosystem.
About Global IDs
Global IDs is here to help with core capabilities to deliver Trust and Efficiency in the data you consume for reports, models, dashboards and critical processes.
20 Years
Fortune 100
Fortune 100
Production Implementations
One
Fully Integrated Platform
