Pervasive Data Profiler v4
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How you can boost efficiency and security with ease
By: Intervision
Type: Blog
Registrar Corp, a compliance solutions leader, faced IT issues amid growth. They partnered with InterVision to tackle data storage, email, and access control challenges. Results included:
- AWS cloud migration for secure data storage
- Microsoft 365 adoption for enhanced email security
- Role-based access controls for improved security
The solutions boosted efficiency and security, cutting IT costs by 50%, streamlining operations, and enabling faster M&A integration. The partnership also provided 24/7 proactive management.
Dig into this article to learn more about Registrar Corp's digital transformation with InterVision.
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Discover intent-guided multithreading tactics that work
By: TechTarget
Type: TechTarget Media
The advent of digital buying has posed new challenges for sales teams, making it harder to access key stakeholders and coordinate activities to accelerate opportunities. This white paper explores how intent-guided multithreading tactics can help.
It discusses how multithreading, used in sales for decades, needs to evolve to adapt to modern buyer behavior. Intent data can reveal buying groups that traditional targeting misses, enabling earlier multithreading.
The paper outlines four intent-guided tactics, including using high-value offers to unite buying groups and accelerate deals. A case study shows how TechTarget uses intent data to deliver high-value meetings.
Learn more about these tactics to help your sales team engage buying teams more effectively and drive faster pipeline growth.
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Semarchy xDM - Information Quality and Semantics
By:
Type: Video
Semarchy xDM Information Quality and Semantics: Data quality is a core capability of the intelligent data hub, supporting an end-to-end approach that includes profiling, dashboards, comprehensive data enrichment, quality as well as match and merge.
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Beyond clinical: Boosting recruitment and retention with SDOH data
By:
Type: Talk
The success of clinical trials depends on various factors beyond traditional clinical care, including social determinants of health (SDOH) like housing, health literacy, transportation, and social support. These factors can impact participant recruitment, retention, and the quality of data collected. In this webinar, panelists will explore how industry leaders are using non-clinical data to improve recruitment, retention, and evidence generation in clinical trials.
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Maximizing your Snowflake investment with Collibra Data Quality & Observability
By:
Type: Video
We will discuss how Collibra Data Quality & Observability enables you to measure, monitor, and improve the quality of your Snowflake data through a combination of automated and manual controls. You'll learn how Collibra's powerful data profiling capabilities can help you gain a deeper understanding of your data, identify potential issues, and take corrective action before they become major problems. We'll do a live demo to showcase: -Leveraging SQL pushdown based native integration with Snowflake to ensure the most efficient data processing and auto-scaling -Uncovering behavioral patterns, outliers and missing values in your Snowflake data -Assessing the quality of your data in Snowflake without having to export or transfer your data outside of Snowflake
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Maximizing your Snowflake investment with Collibra Data Quality & Observability
By:
Type: Replay
We will discuss how Collibra Data Quality & Observability enables you to measure, monitor, and improve the quality of your Snowflake data through a combination of automated and manual controls. You'll learn how Collibra's powerful data profiling capabilities can help you gain a deeper understanding of your data, identify potential issues, and take corrective action before they become major problems. We'll do a live demo to showcase: -Leveraging SQL pushdown based native integration with Snowflake to ensure the most efficient data processing and auto-scaling -Uncovering behavioral patterns, outliers and missing values in your Snowflake data -Assessing the quality of your data in Snowflake without having to export or transfer your data outside of Snowflake
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Analytical Strategies for Comparability in Bioprocess Development
By:
Type: Talk
Bioprocess changes can impact quality attributes of biologics and may affect efficacy and safety of the product. During development and throughout the product lifecycle, when process improvements are implemented, it is essential to gather sufficient data to support the conclusion that product safety and efficacy has not been adversely affected. This demonstration exercise requires careful planning of the comparability studies and is based on the background knowledge of protein structure, biological function, and clinical attribute profiles of the product accumulated during development. In this webinar, I will discuss the key concepts of establishing product quality profiles, and the hierarchical assessment approach to demonstrating comparability of biopharmaceuticals in support of process changes.
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Building the Next Generation Data Catalog with Lumada
By:
Type: Replay
As your organization continues to work with more and more data, you might feel like drowning in a sea of data: Data is coming at you from more sources and at a faster pace than ever. Your business users face their own challenges with all this data, too. How can they find what they need, assess its quality and trustworthiness so that they can get on with driving outcomes for the business? In this session, we'll show how Lumada’s AI-driven data catalog can automate your process of discovering, profiling and tagging your data so that both your technologists and your business users will rapidly find the data they need.
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Definitive guide to improving data quality across your organization
By: Qlik
Type: White Paper
This comprehensive guide explores factors that contribute to creating high-quality data and offers guidance on how enterprises can ensure their data meets high standards. Download the white paper now to learn how you can prioritize data quality and unlock its full potential.
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State of Arizona Accelerates Trusted Data Discovery with Lumada Data Catalog
By:
Type: Talk
Automated trusted data discovery was central to State of Arizona’s sustainability initiatives— finding the right data from hundreds of thousands of water sources in a fast and secure fashion. To fuel this trusted data discovery, State of Arizona is leveraging Lumada DataOps - Data Catalog to make it easy for all the data consumers to find and leverage trusted quality data — exactly when they need it. Join us as Lisa Williams, Manager of the Office of Enterprise Data Management for the Arizona Department of Water Resources and Kunju Kashalikar, Director Product Management at Hitachi Vantara discuss best practices around data discovery, profiling, search and quality using Lumada DataOps - Data Catalog to improve data discovery.
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State of Arizona Accelerates Trusted Data Discovery with Lumada Data Catalog
By:
Type: Replay
Automated trusted data discovery was central to State of Arizona’s sustainability initiatives— finding the right data from hundreds of thousands of water sources in a fast and secure fashion. To fuel this trusted data discovery, State of Arizona is leveraging Lumada DataOps - Data Catalog to make it easy for all the data consumers to find and leverage trusted quality data — exactly when they need it. Join us as Lisa Williams, Manager of the Office of Enterprise Data Management for the Arizona Department of Water Resources and Kunju Kashalikar, Director Product Management at Hitachi Vantara discuss best practices around data discovery, profiling, search and quality using Lumada DataOps - Data Catalog to improve data discovery.
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Empowering Clinical Research in a Distributed World
By:
Type: Video
Many Contract Research Organizations (CROs) and Sponsors are applying technology to enhance clinical trials, resulting in improvements like faster and more representative trial enrollment, and better participant experiences. Since COVID-19, particular attention is being paid to ‘decentralized’ clinical trials (DCT) and hybrid clinical trials. Effective modernization of trials requires understanding of clinical research and supporting technologies. Supporting the shift to DCT and hybrid trials also places significant demand on data management, infrastructure, and its integration to facilitate increasingly complex trial design, analytics and enhancement needs. In this session, Khondoker Huq and Jeff Kenkel will discuss: - What organizations are doing to capture the full value of their clinical research data – wherever the data is generated - Benefits of Decentralized and Hybrid Clinical Trials - Challenges facing adoption of DCT and Hybrid Trials - Organizations supporting DCT standards and advancements - Complexity of technology solutions with IoT analytics - Intelligent technologies that allow for data collection from ‘edge-to-core’ and communication out to trial participants and other trusted third parties
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The Data Quality Maturity Curve: An In-depth Examination
By: Monte Carlo Data
Type: eBook
This guide examines the Data Quality Maturity Curve to offer an experienced perspective on where you should be at each point in your data quality journey. Browse the guide to benchmark your company’s data maturity progress.
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Tips and Tricks to Get the Most Out of Your Pentaho Trial
By:
Type: Video
Want to learn more about the Pentaho Trial? Then attend this recorded webcast that focuses on big data and data integration best practices as well as how to get the most out of your Pentaho 30-day trial. Other topics include: * A review the components that are part of your trial and best approach to get started *A discussion on the best way to connect to your data and manage your analytical pipeline * A showcase our library of videos, tutorials and documentation for a smooth trial * Highlights of proven best practices to make the most of your 30-day download
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Data quality: The key to a successful data migration
By: Syniti
Type: eBook
In this e-book, you'll discover how to ensure data quality before and during a migration to a new platform. You'll also learn how bad data can impact your business and gain best practices for data cleansing, deduplication, and monitoring to accelerate your migration. Read the full e-book now to unlock the business value of your data.
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6 Steps to AI-Ready Data
By:
Type: Video
Is Your Data Ready for AI? The quality of your data plays a critical role in adopting generative AI and achieving meaningful outcomes. However, many organizations find themselves bogged down by time-consuming and repetitive data preparation tasks, which limits their ability to fully leverage the power of generative AI. In this podcast, we'll guide you through six essential steps to ensure your data is clean, consistent, and primed for advanced AI tools. The Six Steps to AI-Ready Data: - Data Exploration: Discover hidden patterns and anomalies within your dataset. - Data Cleaning: Remove duplicates, errors, and irrelevant information. - Data Blending: Merge multiple datasets to uncover new insights. - Data Profiling: Detect and rectify poor-quality data before it affects your outcomes. - ETL (Extract, Transform, Load): Efficiently aggregate data from various sources. - Data Wrangling: Prepare and optimize your data for smooth consumption by AI tools.
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Clinical Trials: How effective patient engagement shapes key decision making
By:
Type: Talk
Join us on 20th May, which marks Clinical Trials Day, as we ask – how can we better understand the patient experience for better clinical trial outcomes? In our upcoming webinar, we are delighted to be joined by Mark Doyle, Founder, A Life in a Day and Emma Sutcliffe, VP, Head Global Patient Affairs, Ipsen, discuss the transformative journey of clinical trials and the pivotal role patient-centric approaches play in enhancing outcomes. Join us as Emma shares her insights, shedding light on how a patient-centric focus has become integral to the development and deployment of clinical trials at Ipsen. Delve into practical strategies employed by Emma and her team at Ipsen, supported by immersive learning strategies explored by Mark, to place patients at the forefront of their trials, ultimately elevating the quality and effectiveness of the research. We will also be diving into the outcomes of employing these strategies, with both speakers sharing insights into the outcomes achievable by better understanding the patient experience and using empathy to drive better outcomes in trials. Participate in this on-demand webinar to: • Foster collaboration with patients for enhanced trial outcomes. • Gain firsthand insights into effectively understanding and addressing patient challenges within trials. • Explore innovative approaches to design and execute trials with a heightened focus on patient needs.
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Improving data quality in the age of generative AI
By: Alteryx
Type: White Paper
Generative AI can revolutionize your business. But it relies on one crucial element: high-quality data. This playbook from Alteryx and Databricks, “Improving Data Quality in the Age of Generative AI”, will give you strategies to overcome data quality challenges for your generative AI initiatives. Read on now to learn more.
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Using Tricentis qTest as the foundation for QA governance
By:
Type: Replay
When people hear of qTest, they immediately think of test management. But, did you know that qTest has its own in-app reporting capability? In this 20-minute session, find out how qTest can be used to help with your QA governance. The product profiled in this webinar is Tricentis qTest. You can get a free trial or request a demo today! Please use the links in the attachments below.
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Fail to prepare quality data, prepare to fail
By: TechTarget ComputerWeekly.com
Type: eGuide
Fail to prepare, prepare to fail is an adage that never fails to lose its veracity. The same is true of using poor quality data, known to be the bane of the lives of data analysts, not to speak of organisations that yearn to be "data driven".
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Visualizing Health: Clinical Data and AI for Insights in Life Sciences
By:
Type: Talk
Attend this exclusive event to learn how leaders access real-world data (RWD) today – without significant investment and security risk. With trials of innovative solutions, you can rapidly produce a deeper understanding of the efficacy and optimization of potential therapies. Existing pathways face three major challenges: fluctuating data quality, low internal validity, and data privacy issues. NTT DATA, with expertise in data security and interoperability, hosts a panel of healthcare and life science experts in data access, data science, and AI technologies who have tackled these challenges to allow their clients to rapidly engage in more use cases of data-driven projects. Leaders from NTT DATA, Takeda Pharmaceuticals, Rhino Health, and Graticule share how: • Valuable imaging data is instrumental in clinical data completeness and life sciences insight • Shortfalls in RWD quality can impact accuracy and introduce unintended bias when combining complex record formats, differing collection processes, and incongruous access protocols • Solutions leveraging RWD cooperatively, adding automation and artificial intelligence, simplify access to larger datasets, minimize bias and inaccuracy, and speed R&D outcomes.
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FIH Trial Trends: How far we've come and where we're going with PK data
By:
Type: Video
Discover an informative webinar delving into pharmacokinetics (PK) in first-in-human (FIH) studies and how it optimizes the data points in clinical trials. In the ever-evolving landscape of pharmaceutical research, it’s crucial to keep a close eye on the changes in PK in FIH trials over the past decade. These changes hold valuable insights that can significantly impact the success of clinical studies. The influence of PK data on clinical study decision-making cannot be overstated; it serves as a cornerstone in shaping the direction of drug development. Furthermore, comprehending how PK data gathered in FIH trials can be leveraged to optimize data collection in long-term patient studies is paramount. It also enables researchers to streamline the data points collected, enhancing efficiency and reducing the burden on patients while ensuring that the clinical trial remains robust and informative.
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A Computer Weekly buyer's guide to data quality
By: TechTarget ComputerWeekly.com
Type: eGuide
The value of data depends on its quality. In this 14-page buyer's guide, Computer Weekly looks at how the coronavirus pandemic has highlighted the challenges of inaccurate datasets, the new analytics techniques improving data quality and Informa's use of Collibra software
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Benchmarking of Set Top Boxes and monitoring critical KPIs for video services
By:
Type: Talk
PayTV Service providers are embracing engineering best practices to address dynamic consumer needs, instead of relying only on marketing and sales strategies. Deep market research, beta trials, closed user group tests and many such engineering practices are common in the product delivery cycles. Among them, one such practice is to include engineering quality benchmarking with competitor products to gain an extra edge to attract more subscribers. Tune in to listen from our leaders on how service providers can benchmark their product performance and improve service delivery. The webinar will cover the following areas: • Customer perception of quality - demystifying the myth • Measurement of quality in product delivery stages - from lagging indicators to leading indicators • Significance of KPIs in setting quality roadmaps - how to measure using leading quality indices • How to measure quality parameters during development and deployment stages • Importance of product benchmarking and knowledge consolidation
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Seven business drivers for AI-powered data integration
By: Qlik
Type: Product Overview
In this solution brief, you'll discover the 7 key business drivers for AI-powered data integration that can help ISVs, data providers, and digital businesses transform customer data into actionable insights. Read on now to learn how to integrate any data source, ensure data trust, and establish real-time data pipelines.
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3 phases of intent-based value delivery: What you should know
By: TechTarget
Type: BrightTALK Webinar
For introductions to the three phases of intent-based value delivery and how to leverage those phases, check out this webinar featuring insights from CMO of TechTarget, John Steinert, and two leaders from Demandbase.
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EU Clinical Trial Regulation
By:
Type: Video
EU Clinical Trial Regulation: Balancing Requirements Related To Transparency And To Protection Of Personal Private Data And Commercially Confidential Data The session aims to cover an overview of the different requirements on transparency, the data protection regulation for personal private data, and the set-up for how commercially confidential data might be protected. The focus will be on the strategic view of achieving transparency and the utility of data in CTIS while ensuring EU remains attractive for clinical trials by ensuring sponsors commercially confidential information is protected.
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The Evils of Data Debt
By:
Type: Video
Join Cribl's Ed Bailey and Jackie McGuire as they discuss the harmful effects of data debt on observability and security teams. Data debt is a pervasive problem that increases costs and produces poor results across observability and security. Simply put, garbage in equals garbage out. During this live stream, Ed and Jackie will delve into what data debt is and how to solve it in the long term. They will explore the complex nature of observability and security data, which is highly volatile and requires a different approach from typical analytics use cases. To get the best results, data standards must be established with high-level buy-in from leadership. Additionally, teams must have access to a high-quality observability pipeline that allows them to manipulate data in real-time. It's also important to build a strong relationship with your GRC team, so you can track issues with standards and gain the right visibility in the enterprise. With the right strategies, data debt can be overcome, and Ed and Jackie will help you get started on the road to success.
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From data chaos to clarity
By: Wolters Kluwer
Type: Webcast
In this webcast, you’ll gain insights from industry experts to help you wrangle healthcare data from disparate sources and make it meaningful for your organization. Tune in now to find out how effective data governance and normalization can drive enhanced analytics and improve decision-making for your business.
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Trusted Customer View: Drive Stronger CX with Accurate and Compliant Profiles
By:
Type: Replay
In order to succeed today, data-driven businesses need to prioritize data privacy and be mindful of how personal data is collected and used. Additionally, customers are now providing even less data yet still expect brands to deliver relevant and personalized experiences. That’s why in this webinar we’ll be walking through how Tealium’s Trusted Customer View solutions can help you achieve benefit-driven interactions that are led by privacy. Tune in to also learn how to: - Build customer profiles at the heart of your CX that are reliable, compliant, and high quality - Ensure every customer engagement is accurately targeted, built on trusted insights, and respects customer privacy preferences. - Increase data governance and simplify compliance with campaigns that set consent as the first door for personalization
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Trusted Customer View: Drive Stronger CX with Accurate and Compliant Profiles
By:
Type: Replay
In order to succeed today, data-driven businesses need to prioritize data privacy and be mindful of how personal data is collected and used. Additionally, customers are now providing even less data yet still expect brands to deliver relevant and personalized experiences. That’s why in this webinar we’ll be walking through how Tealium’s Trusted Customer View solutions can help you achieve benefit-driven interactions that are led by privacy. Tune in to also learn how to: - Build customer profiles at the heart of your CX that are reliable, compliant, and high quality - Ensure every customer engagement is accurately targeted, built on trusted insights, and respects customer privacy preferences. - Increase data governance and simplify compliance with campaigns that set consent as the first door for personalization
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Trusted Customer View: Drive Stronger CX with Accurate and Compliant Profiles
By:
Type: Replay
In order to succeed today, data-driven businesses need to prioritize data privacy and be mindful of how personal data is collected and used. Additionally, customers are now providing even less data yet still expect brands to deliver relevant and personalized experiences. That’s why in this webinar we’ll be walking through how Tealium’s Trusted Customer View solutions can help you achieve benefit-driven interactions that are led by privacy. Tune in to also learn how to: - Build customer profiles at the heart of your CX that are reliable, compliant, and high quality - Ensure every customer engagement is accurately targeted, built on trusted insights, and respects customer privacy preferences. - Increase data governance and simplify compliance with campaigns that set consent as the first door for personalization
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5 Steps to Improve Data Quality for Generative AI and Beyond
By: Dataiku
Type: White Paper
Data quality is critical for successful Generative AI, but many organizations struggle with it. This white paper outlines 5 steps to improve data quality, including democratizing data quality efforts and embedding quality checks across operations. Read the full white paper to gain a competitive advantage through better data quality.
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Complex Innovative Design Trials
By:
Type: Video
Complex innovative design trials are revolutionizing clinical research by adopting new and advanced methodologies beyond the standard randomized controlled trial design, resulting in accelerated drug development and improved patient outcomes. In this session, regulators and industry experts discuss the development of master protocol studies, acceptance of the design and data of these trials by key-decision makers, as well as the impact of IMI EU-PEARL’s deliverables.
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Why is Data Quality NOT Boring?
By:
Type: Talk
Having high quality data we can trust has never been so important. Trustworthy data is the bedrock of all data management disciplines. Therefore data quality is never boring as a solid data quality foundation is essential to successfully deliver business, data and AI strategies. DAMA UK Committee members Nigel Turner and Sarah Higham will be sharing their knowledge and experience to outline why “Data Quality is NOT Boring” and provide suggestions on how to proactively fix data issues, and prevent them from recurring in the future. Agenda Data quality horror stories Why is data quality NOT boring? DAMA UK survey evidence on data quality So how can you fix data quality and ensure you don’t need to fix it again? Conclusions & key messages Q&A
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For Dummies E-book: Data Observability
By: Monte Carlo Data
Type: eBook
This For Dummies e-book explores the evolving landscape of data management and the crucial role that detecting, resolving, and preventing data issues (also known as data observability) plays in this process. Read on to gain a deeper understanding of the value data observability brings to your organization.
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Data quality emerges from Covid-19 more critical than ever
By: TechTarget ComputerWeekly.com
Type: eGuide
In this e-guide: The public has been drenched in data during the Covid-19 pandemic. And the issue of the quality of that data has increasingly come to the fore.
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Ensure Trustworthy Data with Alation’s Data Quality Processor
By:
Type: Video
Data quality should always be a top priority for your business. To ensure quality outputs, your data users need to know that they are working with trustworthy data. That’s why top cloud data solution providers like Snowflake and Databricks have created tools to help analyze your data and return quality information based on rules you apply. But how can your business users gain information from these results? During this session, you’ll discover how Alation’s new Data Quality Processor allows businesses to import data quality information generated by Snowflake and Databricks and apply rules to determine the quality of their data. Watch now to learn how this tool can help your business: • Gain a better understanding of the quality of your data • Give data experts the ability to create rules to set data quality thresholds • Visualize data quality and health • And more
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Demo: Performance and load test in hybrid systems
By:
Type: Replay
How many seconds does it take to lose a customer? In this session, we will cover how to keep your apps performing, no matter where they live or what they touch, in today’s complex jungle of application development and deployment models. Join this session to watch Part II of this two part series, which is a demo showing how these tests work in real life scenarios. Watch Part I here. The product profiled in this webinar is Tricentis NeoLoad. You can get a free trial or request a demo today! Please use the links in the attachments below.
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23 things I’ve learned about data quality in 23 years of consulting by 2023
By:
Type: Replay
Data quality is a difficult concept to quantify while still being vital enough to sabotage any project, strategic initiative, or even an entire business. What's going on with the quality of your data? Is the data well-suited for all of its uses? Is your data everywhere – in operational databases, data warehouses, data lakes, master data management, etc.? Information management expert William McKnight will go over 23 lessons he’s learned about data quality, frequently the hard way, in this presentation. Any problem with data quality, and quite possibly with data, that you may be experiencing is likely the result of someone failing to take one of these lessons to heart. Focusing on one or more of these could be the key to achieving understanding between parties and, ultimately, finding a solution to your data quality, and consequently data, problems. In this presentation, you’ll discover up to 23 facts about data quality as well as fixes for the issues that the absence of data quality causes.
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AS SIMPLE AS A TO E: AN ENTERPRISE APPROACH TO DATA QUALITY IMPROVEMENT
By:
Type: Talk
Data quality remains a daunting challenge as poor data quality is sadly still the norm in many companies and organisations. This webinar explores why data quality is so hard to get right and outlines an effective approach to identifying, prioritising and tackling data quality problems. The approach also applies some of the artefacts of systems thinking to help demonstrate the multi-dimensionality of data quality and the need for holistic solutions.
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Automating Data Lake Pipelines For AI
By: Qlik
Type: eBook
Automating data lake pipelines can help deliver accurate, model-ready data for AI initiatives faster. In this e-book, you'll learn how to build AI-enabled pipelines that automate ingestion, quality checks, processing, and storage optimization. Read on now to discover key considerations and steps for success.
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The Power of Global Standardization: Unlock High Quality Flow Cytometry Results
By:
Type: Talk
Flow Cytometry can interrogate multiparametric measurements on individual cells and has become a widely used specialty testing platform for clinical trials. In addition to the importance of evaluating single-cell analysis throughout the drug development lifecycle, there are increasingly new flow cytometry instruments being introduced that can enhance the researcher’s ability to produce high-quality patient results. One of the challenges that exist when conducting a global clinical trial is the ability to standardize laboratory flow cytometers across sites while also producing rigorous and comparable results in either an exploratory or critical endpoint analysis. Attend this webinar to learn: • Important considerations when designing and validating cytometry panels for use across multiple sites and instruments. • Understanding aspects of flow cytometry assessments in either a regulatory or non-regulatory setting. • Validation of a high-complexity Immuno-Oncology panel to interrogate human patient samples as part of a global clinical trial.
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Using Enterprise Data for Analytics and AI Is Accelerating the Need for Data Modernization
By: AWS & Effectual
Type: ESG Showcase
Data modernization is crucial for successful digital transformation and leveraging advanced analytics and AI. This white paper examines how organizations can build trusted data sources, enhance data governance, and accelerate their data modernization journey with AWS and Effectual. Read the full ESG Showcase to learn more.
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9 ways to scale AI with data integration and "Super iPaaS"
By: webMethods + StreamSets
Type: White Paper
As enterprises scale AI, data integration is critical to overcoming challenges like data silos, quality, and security. This white paper explores how modern data integration solutions can provide the foundation for successful, scalable AI initiatives. Learn more by reading the full white paper.
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9 ways to scale AI with data integration and "Super iPaaS"
By: Software AG
Type: White Paper
As enterprises scale AI, data integration is critical to overcoming challenges like data silos, quality, and security. This white paper explores how modern data integration solutions can provide the foundation for successful, scalable AI initiatives. Learn more by reading the full white paper.
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Boomi Integrated Experiences Series: Workforce Integrated Experiences, Ep. 5
By:
Type: Replay
Our fifth Integrated Experiences podcast episode explores how you can help your workforce thrive in these turbulent times with data readiness, pervasive connectivity, and smart user engagement. Integrated Experiences is the confluence of information (data readiness), integration (pervasive connectivity), and interactions (user engagement) that instantly connect everyone to everything – putting the power of data in the right user’s hands. The result is a transformation in the way you engage with users (customers, partners, employees) to instantly connect them to what they want. Join us for our Integrated Experiences podcast series to learn more about accelerating business outcomes!
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A Data Quality Culture in Government: What is it and how do we get there?
By:
Type: Talk
The Government Data Quality Framework sets out the principles for building a data quality culture across government, but how will this work in practice across so many large organisations and so many data sources? The Government Data Quality Hub (DQHub) at the Office for National Statistics has recently been established to address these challenges, through setting direction and build data quality capability across government. James Tucker, Head of the DQHub, will take us through the ambitions for data quality in government, and the need to work across organisations in government and wider to achieve them.
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Computer Weekly – 24 May 2022: Set innovation free and make great ideas a reality
By: TechTarget ComputerWeekly.com
Type: Ezine
In this week's Computer Weekly, we look at Gartner's call to innovate – and innovation across retail, the circular economy and the automotive sector. We talk to Verastar's CTO about customer engagement in its small business services. And we examine how poor data quality is frustrating corporate desires to be data-driven. Read the issue now.
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Identity Resolution Explained: Profile the Right Prospects
By:
Type: Talk
Sales and marketing teams know that targeting prospects is a slow and tedious process, given how incomplete and siloed profile data is for both sales and marketing teams. Having a single view of your customer/prospect data makes it easier to effectively target the right people at the right time, across the buying team. But creating accurate profiles, and matching them to the right accounts is complex and hard. Using a Customer Data Platform can instantly empower sales and marketing by blending siloed data and creating buyer profiles for individuals, buying groups, companies, and accounts. This lively webinar will cover key drivers and case studies for successful identity resolution implementations including anonymous web visitor discovery, personal-to-business profile matching, lead-to-account matching, and data unification across data sources.
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Connecting Data Quality to the Business Bottom Line
By:
Type: Talk
One of the biggest challenges for data teams right now, is showing the bottom-line value of improving data quality to the business. While they know investing in the right areas of the business will unlock value, when executives hear data quality their eyes typically glaze over, unaware as to the connection between data quality and how it ultimately affects the metrics they value: revenue, costs, cash flow etc… For data and IT teams this disconnect results in a lack of funding and support for the data improvement initiatives they care about and know will work. So what can you do about it? We believe data and IT teams need a new story, a new way to position data quality as not just an essential component to smooth operations but also as a value driver for the business. In this webinar, data management experts, Syniti, and a guest speaker from the analyst firm IDC will overview: - How data has evolved as a topic in the boardroom - How data quality improvement can impact the bottom line - How through new data quality assessments, Syniti can display the anticipated value of data quality improvements in each aspect of your business. - How the Syniti Knowledge Platform can give you control over your data