Modern Data Governance: Synergies with Quality and Observability
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The document discusses Precisely's Data Integrity Suite, which provides modular and interoperable solutions for data integration, quality, governance, and enrichment. The suite allows different user personas like business owners, data stewards, data engineers, and analysts to seamlessly collaborate across functions. It highlights how the suite offers searchability, monitoring, automated workflows, and integrated capabilities to help customers improve data accuracy and confidence at every stage of their data integrity journey.
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Benefits of the Data Integrity Suite for Data360 DQ+ customersData quality use cases optimized in the Data Integrity SuiteHigh-level roadmap for Data360 DQ+
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According to a recent IDC report, only 27 percent of data practitioners trust the data they work with. That’s not good enough for your DataOps initiatives and the modern data stack you’re building on AWS. To build trust, you must break data out of siloes, understand its lineage and business impact, cultivate continued quality, and enrich it with context and spatial insights. You need data integrity—data that is accurate, consistent, and contextualized. In this talk, learn how the Precisely Data Integrity Suite can help you build trust in your AWS data for innovation and digital transformation. This presentation is brought to you by Precisely, an AWS Partner.
What Data Do You Have and Where is It?
Joe Caserta, President at Caserta Concepts presented at the 3rd Annual Enterprise DATAVERSITY conference. The emphasis of this year's agenda is on the key strategies and architecture necessary to create a successful, modern data analytics organization.
Joe Caserta presented What Data Do You Have and Where is it?
For more information on the services offered by Caserta Concepts, visit out website at http://casertaconcepts.com/.
(Data) Integrity Matters: Four Ways You Can Build Trust in Your Data
According to the Harvard Business Review, 47% of newly created data records have at least one critical error. For many organizations, the ability to trust their data seems almost impossible. Data lives in silos, is stale, unstandardized, full of duplicates, incomplete, or lacking in the insights required to make it truly valuable.
That’s why focusing on achieving data integrity – data with maximum accuracy, consistency, and context – drives better, faster, more confident decisions for your business.
During this on-demand webinar, you will learn how Precisely defines data integrity and how we can help you:
• Effectively integrate data from multiple data sources like mainframes, relational databases, or enterprise data warehouses into next-generation platforms
• Improve the quality of your data by making sure your data is complete, verified, and validated
• Incorporate third-party data to provide location, business, or demographic context
• Turn data into actionable insights using location – a straight-forward way to organize, manage, enrich, and analyze business data
Strategically Thinking: Data Integrity for Your Master Data
The document provides an overview of Precisely's multi-domain master data management solution. It summarizes that the solution allows customers to manage multiple data domains in a single hub to accelerate value, ensure data accuracy, and provide flexibility. It highlights key features such as a configure-not-code approach, robust data quality and governance capabilities, and support for structured and unstructured data. The document also provides a demo of the solution's golden record management process and integration capabilities.
Introducing Trillium DQ for Big Data: Powerful Profiling and Data Quality for...
The advanced analytics and AI that run today’s businesses rely on a larger volume, and greater variety, of data. This data needs to be of the highest quality to ensure the best possible outcomes, but traditional data quality tools weren’t designed for today’s modern data environments.
That’s why we’ve developed Trillium DQ for Big Data -- an integrated product that delivers industry-leading data profiling and data quality at scale, in the cloud or on premises.
In this on-demand webcast, you will learn how Trillium DQ:
• Empowers data analysts to easily profile large, diverse data sources to discover new insights, uncover issues, and report on their findings – all without involving IT.
• Delivers best-in-class entity resolution to support mission-critical applications such as Customer 360, fraud detection, AML, and predictive analytics.
• Supports Cloud and hybrid architectures by providing consistent high-performance processing within critical time windows on all platforms.
• Keeps enterprise data lakes validated, clean, and trusted with the highest quality data – without technical expertise in big data or distributed architectures.
• Enables data quality monitoring based on targeted business rules for data governance and business insight
Streamline Your Oil & Gas Master Data Processes Using Precisely
Streamline your oil & gas master data processes using Precisely's data management and automation capabilities. Precisely provides a multi-domain master data management platform and process automation tools to integrate, enrich, and manage critical upstream and downstream oil & gas master data across SAP and other systems. The platform offers configurable workflows, data quality controls, and role-based interfaces to improve data accuracy and accelerate processes like product launches, vendor onboarding, and asset management.
GEODATA COMMERCIAL ALT
GeodataIT provides data solutions and services to help organizations solve data challenges, streamline operations, and realize returns on their investments. They focus on commercial open-source technologies and expanding services to help businesses where data presents difficulties. GeodataIT delivers customized solutions including assessments, development, testing, and ongoing support to address clients' data problems and improve their bottom lines.
Data Flux
The document discusses the journey organizations take to establish trusted data through effective data management. It outlines key barriers such as a disconnect between business and IT needs as well as a lack of data ownership and governance. The document promotes establishing repeatable data processes through a single data management solution that provides data quality, integration and master data management capabilities. This helps improve business user productivity, reduce costs and risks, and support data-driven decisions.
IBM Modern Analytics Journey
May 25 IBM and Lighthouse presented the Modern Analytics Journey to 100 employees of New England based organizations
Data quality + data governance: the formula for bigger, better decisions
Data quality and data governance: they’re both essential to the other’s success, and together they empower bigger, better decisions and valuable new opportunities for your business.
At its core, a comprehensive data governance program aims to produce better business outcomes based on trusted data. And a solid data governance program is the foundation for enterprise-scale data quality.
Join our webinar & demo to explore this relationship in more detail. We’ll also cover:
• Must-have capabilities of an operational data governance solution
• Benefits of integrated data quality in action
• Why data governance and data quality are both essential in your journey to data integrity
Big Data LDN 2017: Data Governance Reimagined
Date: 16th November 2017
Location: Data-Driven LDN Theatre
Time: 12:30 - 13:00
Speaker: Andrew Joss
Organisation: Informatica
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Inconsistent user experience and siloed data, high costs, and changing customer expectations – Citizens Bank was experiencing these challenges while it was attempting to deliver a superior digital banking experience for its clients. Its core banking applications run on the mainframe and Citizens was using legacy utilities to get the critical mainframe data to feed customer-facing channels, like call centers, web, and mobile. Ultimately, this led to higher operating costs (MIPS), delayed response times, and longer time to market.
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In today's ever-evolving threat landscape, any siloed systems, or data leave organizations vulnerable. This is especially true when mission-critical systems like IBM i and IBM Z mainframes are not included in your security planning. Valuable security data from these systems often remains isolated, hindering your ability to detect and respond to threats effectively.
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Are you considering leveraging the cloud alongside your existing IBM AIX and IBM I systems infrastructure? There are likely benefits to be realized in scalability, flexibility and even cost.
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It can be challenging display and share capacity data that is meaningful to end users. There is an overabundance of data points related to capacity, and the summarization of this data is difficult to construct and display.
You are already spending time and money to handle the critical need to manage systems capacity, performance and estimate future needs. Are you it spending wisely? Are you getting the level of results from your investment that you really need? Can you prove it?
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Ready to improve efficiency, provide easy to use data automations and take materials master (MM) data maintenance to the next level?
Find out how during our Automate Studio training on March 28 – led by Sigrid Kok, Principal Sales Engineer, and Isra Azam, Sales Engineer, at Precisely.
This session’s for you if you want to discover the best approaches for creating, extending or maintaining different types of materials, as well as automating the tricky parts of these processes that slow you down.
Greater control over your Automate Studio business processes means bigger, better results. We’ll show you how to enable your business users to interact with SAP from Microsoft Office and other familiar platforms – resulting in more efficient SAP data management, along with improved data integrity and accuracy.
This 90-minute session will be filled with a variety of topics, including:
real world approaches for creating multiple types of materials, balancing flexibility and power with simplicity and ease of use
tips on material creation, including
downloading the generated material number
using formulas to format prior to upload, such as capitalization or zero padding to make it easy to get the data right the first time
conditionally require fields based on other field entries
using LOV for fields that are free form entry for standard values
tips on modifying alternate units of measure, building from scratch using GUI scripting
modify multiple language descriptions, build from scratch using a standard BAPI
make end-to-end MM process flows more of a reality with features including APIs and predictive AI
Through these topics, you’ll gain plenty of actionable takeaways that you can start implementing right away – including how to:
improve your data integrity and accuracy
make scripts flexible and usable for automation users
seamlessly handle both simple and complex parts of material master
interact with SAP from both business user and script developers’ perspectives
easily upload and download data between SAP and Excel – and how to format the data before upload using simple formulas
You’ll leave this session feeling ready and empowered to save time, boost efficiency, and change the way you work.
Automate Studio reduces your dependency on technical resources to help you create automation scenarios – and our team of experts is here to make sure you get the most out of our solution throughout the journey.
Questions? Sigrid & Isra will be ready to answer them during a live Q&A at the end of the session.
Who should attend:
Attendees who will get the most out of this session are Automate Studio developers and runners familiar with SAP MM. Knowledge of Automate Studio script creation is nice to have, but not required.
Leveraging Mainframe Data in Near Real Time to Unleash Innovation With Cloud:...
Join us for an insightful roundtable discussion featuring experts from AWS, Confluent, and Precisely as they delve into the complexities and opportunities of migrating mainframe data to the cloud.
In this engaging webinar, participants will learn about the various considerations, strategies, and customer challenges associated with replicating mainframe data to cloud environments.
Our panelists will share practical insights, real-world experiences, and best practices to help organizations successfully navigate this transformative journey.
Whether you're considering migrating and modernizing your mainframe applications to cloud, or augmenting mainframe-based applications with data replication to cloud, this roundtable will provide valuable perspectives and insights to maximize the benefits of migrating mainframe data to the cloud.
Join us on March 27 to gain a deeper understanding of the opportunities and challenges in this evolving landscape.
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Data integrity remains an evolving process of discovery, identification, and resolution. With an all-time low in public confidence on data being used for decision-making, attention has gradually shifted to data quality and data integration across multiple systems and frameworks. Data integrity becomes a focal point again for companies to make strategic moves in a world facing an evolving economy.
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· How to establish and maintain a business-first approach to data governance
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Artificial Intelligence (AI) has become a strategic imperative in a rapidly evolving business landscape. However, the rush to embrace AI comes with risks, as illustrated by instances of AI-generated content with fake citations and potentially dangerous recommendations. The critical factor underpinning trustworthy AI is data integrity, ensuring data is accurate, consistent, and full of rich context.
Attend our upcoming webinar, "AI You Can Trust: Ensuring Success with Data Integrity," as we explore organizational challenges in maintaining data integrity for AI applications and real-world use cases showcasing the transformative impact of high-integrity data on AI success.
During this panel discussion, we'll highlight everything from personalized recommendations and AI-powered workflows to machine learning applications and innovative AI assistants.
Key Topics:
AI Use Cases with Data Integrity: Discover how data integrity shapes the success of AI applications through six compelling use cases.
Solving AI Challenges: Uncover practical solutions to common AI challenges such as bias, unreliable results, lack of contextual relevance, and inadequate data security.
Three Considerations of Data Integrity for AI: Learn the essential pillars—complete, trusted, and contextual—that underpin data integrity for AI success.
Precisely and AWS Partnership: Explore how the collaboration between Precisely and Amazon Web Services (AWS) addresses these challenges and empowers organizations to achieve AI-ready data.
Join our panelists to unlock the full potential of AI by starting your data integrity journey today. Trust in AI begins with trusted data – let's future-proof your AI together.
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In this talk, I'll show you step-by-step how to secure your Kubernetes cluster for greater peace of mind and reliability.
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Modern Data Governance: Synergies with Quality and Observability
- 1. Synergies with Quality & Observability Ken Beutler | Sr. Director, Product Mgmt Mike Ortmann | Sr. Sales Engineer Modern Data Governance
- 2. Introductions Mike Ortmann Senior Solution Engineer Ken Beutler Senior Director, Product Management
- 3. For trusted data, you need data integrity Data integrity is data with maximum accuracy, consistency, and context for confident business decision-making Data Integrity
- 4. The modular, interoperable Precisely Data Integrity Suite contains everything you need to deliver accurate, consistent, contextual data to your business - wherever and whenever it’s needed.
- 5. Data Integration Data Observability Data Quality Geo Addressing Spatial Analytics Data Governance Data Enrichment Data Integrity Foundation APIs / SDKs AGENTS DATA CATALOG INTELLIGENCE DATA FLOW DESIGNER Enterprise Business Systems • Enterprise apps • Analytics tools • Precisely industry apps • BI dashboards • AI/ML Enterprise Data Sources • Business Intelligence • CRM • Workforce mgmt. • Data warehouse • ERP • Billing Flexible modular, interoperable solution Business & IT collaboration Streaming data pipelines Data integrity processes run where the data is Shared catalog of technical & business metadata AI-driven rules, alerts, & enrichment
- 6. Data Integration Data Observability Data Quality Geo Addressing Spatial Analytics Data Governance Data Enrichment Data Integrity Foundation APIs / SDKs AGENTS DATA CATALOG INTELLIGENCE DATA FLOW DESIGNER Enterprise Business Systems • Enterprise apps • Analytics tools • Precisely industry apps • BI dashboards • AI/ML Enterprise Data Sources • Business Intelligence • CRM • Workforce mgmt. • Data warehouse • ERP • Billing Flexible modular, interoperable solution Business & IT collaboration Streaming data pipelines Data integrity processes run where the data is Shared catalog of technical & business metadata AI-driven rules, alerts, & enrichment
- 7. Synergies Across Personas & Teams Business Owner Data Steward Data Engineer Data Analyst/ Technical Steward
- 8. What You Will See 1 2 3 4 Business Owner – Searchability, Context & Collaboration Data Steward - Profile & Monitor for Changes Over Time Data Engineer – Workflow Notification & Data Access Requests Data Analyst – Workflow Notification & Quality Pipeline Creation
- 10. What it Means for You 1 2 3 4 Business Owner – Searchability, Context & Collaboration Data Steward - Profile & Monitor for Changes Over Time Data Engineer – Workflow Notification & Data Access Requests Data Analyst – Workflow Notification & Quality Pipeline Creation Easily find and understand key data and take action with requests and suggestions Be proactive in understanding AI/ML enabled data trends that could have significant impact Automated workflow to facilitate and expedite self-service data access Automated workflow to initiate data quality pipelines and enrichment
- 11. 12 Modern Data Governance Requirements Cross-functional teams collaborate and understand the full lifecycle of data pipelines in a single solution Critical metadata is automatically harvested & cataloged in a single solution Robust data access, quality & observability capabilities are seamlessly integrated
- 12. LOCATION QUALITY GOVERNANCE ENRICHMENT INTEGRATION Your unique data integrity journey will reflect your business needs Data Integrity Data integrity is a journey • Every journey to data integrity 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
- 13. The modular, interoperable Precisely Data Integrity Suite contains everything you need to deliver accurate, consistent, contextual data to your business - wherever and whenever it’s needed.
- 14. Questions?
- 15. The leader in data integrity Our software, data enrichment products and strategic services deliver accuracy, consistency, and context in your data, powering confident decisions. of the Fortune 100 99 countries 100 2,500 employees customers 12,000 Brands you trust, trust us Data leaders partner with us
- 16. Thank you! www.precisely.com Sales: 1 (877) 700 0970