Next-Gen Data Management: Strategies for Data Integrity in Hybrid Multi-Cloud Environments

Syncsort 142 views 18 slides Aug 14, 2024
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About This Presentation

Most organizations manage data across a complex mix of cloud offerings, on-premises platforms, and mainframe or mid-range systems. These hybrid multi-cloud environments present unique challenges for maintaining data integrity, making it crucial and difficult to achieve. 
In this on-demand webinar, ...


Slide Content

Next-gen Data Management Strategies for Data Integrity in Hybrid Multi-Cloud Environments August 2024 Antonio Cotroneo – Director, Product Marketing

2 DATA Data fuels the entire business Finance & Legal​ HR & Operations​ Information Technology​ Product & Engineering​ Sales & Marketing​ Fulfillment & Support 2023 Data Integrity Trends & Insights Report #1 priority:  da ta-driven business decisions

Tension between today and tomorrow 3 Deliver on strategic initiatives Automate complex business processes Adopt AI to drive innovation Solve data challenges Manage manual processes Avoid security and compliance risk SUSTAIN INNOVATE Strategies for Data Integrity in Hybrid Multi-cloud Environments

Innovation alleviates the tension Common initiatives for moving the business forward Modernization Automation Artificial Intelligence Analytics & BI Cloud Adoption Risk & Compliance Data Democratization Efficiency & Optimization Trusted data  is foundational to successful AI, automation & other critical business initiatives Strategies for Data Integrity in Hybrid Multi-cloud Environments 4

81% of respondents use multiple cloud providers Strategies for Data Integrity in Hybrid Multi-cloud Environments 5 Managing data across a complex mix of systems presents challenges Can’t get data fast enough Don’t understand the data Can’t trust the data Don’t have the context to use it Don’t know the root cause of issues Source: 2023 Gartner Cloud End-User Behavior Survey

The data journey is complex and ongoing GENERATE MONITOR ENRICH ANALYZE & ACTIVATE CATALOG & GOVERN CLEANSE & VALIDATE INTEGRATE Strategies for Data Integrity in Hybrid Multi-cloud Environments 6

Align efforts to strategic business initiatives A common goal is to identify and leverage data that delivers real business value Statistics show that most organizations are ‘drowning’ in data Rallying around a goal can be daunting and challenging, but it’s the easy part Connecting data to goals makes it stick and allows you to deliver organizational value Those who ‘swim’ develop and follow a strategic approach to data success Embrace data modernization with a business value-focused, strategic approach If I had eight hours to chop down a tree, I’d spend six hours sharpening my axe.” Abraham Lincoln “ 7

Identify stakeholders and desired outcomes Stakeholder strategy Innovation and transformation Ability to access the correct data faster Removing excessive process steps Business initiatives & associated KPI’s Artificial Intelligence Analytics and BI Process Automation Risk and Compliance Enabling Skills and Data Integrity Capabilities Organization Tools Process Highly visible strategic “wants” Less visible data enablers Strategies for Data Integrity in Hybrid Multi-cloud Environments 8

Identify skills and data integrity capabilities Problem solving Data management and engineering AI/ML Business networks & cross- company collaboration Privacy and security Industry regulations Project management Data analysis and reporting Process intelligence People & Data Strategies for Data Integrity in Hybrid Multi-cloud Environments 9

Focusing on adding value with critical data Data Selection of data maintained at the system level (tables and fields) Information Information required to run the business and conduct daily operations KPIs / Performance Measures / Analytics Measuring process effectiveness & enabling sound business decisions Actionable Insights & Business Value Strategic enterprise and organizational business value drivers CRITICAL DATA

Accelerating the data integrity lifecycle Connect data assets and metadata Understand data meaning and purpose Cleanse data to achieve desired quality levels Enrich with 3 rd party data and location-derived context Govern data to meet standards for security/privacy Observe data changes for impacts/disruption Data Modernization Understand Enrich Cleanse Govern Observe Connect 11

Precisely partners with you along the way Complete set of data integrity capabilities and data strategy services  GENERATE Enterprise Data sources CATALOG & GOVERN Data catalog Data governance MONITOR Data observability ENRICH Spatial analysis Data enrichment INTEGRATE Change data capture ANALYZE & ACTIVATE Customer experience CLEANSE & VALIDATE Data quality Geo addressing Master data management

LOCATION QUALITY GOVERNANCE ENRICHMENT INTEGRATION Your unique data integrity journey will reflect your business needs Data Integrity Data integrity is a journey Every data modernization journey is unique and driven by business initiatives Market trends are accelerating the need for data integrity Precisely can help you at every step of your data integrity journey Strategic Services can help jump-start your initiative or ensure an existing one accomplishes the desired outcomes! Strategies for Data Integrity in Hybrid Multi-cloud Environments 13

MORTGAGE FINANCING, & INFORMATION LEADER: Create ML models to understand housing market trends and risks $ 7 BILLION uncovered in multi-family homes 34 % increase in availability Data challenges addressed: Data quality Geocoding accuracy Data enrichment

3 RD -PARTY GOVERNMENT HEALTH SAVINGS ADMINISTRATOR AI-powered data-driven approach for business decisions $ 748 Billion assets under management Data challenges addressed: Data governance Data quality Unified Data Framework delivers governed and high-quality data in a single platform to support enterprise AI/ML and data analytics.

Keys to data modernization success Get specific about the strategic business goals that data drives What business value do we want to drive? Understand who your audience is and what’s important to them Who are your stakeholders, and what do they want to achieve? Ensure clear alignment of data to business value drivers and KPIs How do we ensure value delivery? 16

Keys to digital transformation success Focus on the critical subset of data that is most important to business goals What data is critical to be trusted & usable for those goals? Leverage data integrity technology to automate the data lifecycle How do we automate and scale? Measure the success, adjust practices, and report to stakeholders How do we improve the process?
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