David Menninger's Analyst Perspectives

NOVEMBER 16, 2021

Talend is a data integration and management software company that offers applications for cloud computing, big data integration, application integration, data quality and master data management.

Management 320

Management Data Warehouse Data Quality Data Integration 320

Ontotext

FEBRUARY 26, 2024

But until they connect the dots across their data, they will stay in this stage. This is where graph technologies come in. They allow you to connect the dots across your data and progress on the spectrum toward knowledge, insight, and wisdom. Becoming data-driven will also be slow and costly.

Technology 52

Technology Cost-Benefit Data-driven Metadata 52

Ontotext

NOVEMBER 23, 2023

The next step is to link the data graph to the shapes graph: ex:TolkienDragonShape sh:shapesGraph ex:TolkienShapesGraph. This technique can be especially useful in data integration projects where you are combining related, potentially overlapping data from multiple sources. Ontotext’s GraphDB Give it a try today!

Data Quality 69

Data Quality Reporting Metadata IT 69

DataKitchen

NOVEMBER 10, 2023

Extrinsic Control Deficit: Many of these changes stem from tools and processes beyond the immediate control of the data team. Unregulated ETL/ELT Processes: The absence of stringent data quality tests in ETL (Extract, Transform, Load) or ELT (Extract, Load, Transform) processes further exacerbates the problem.

Data Quality 136

Data Quality Testing Data Lake Data Integration 136

DataKitchen

FEBRUARY 27, 2024

However, the foundation of their success rests not just on sophisticated algorithms or computational power but on the quality and integrity of the data they are trained on and interact with. The Imperative of Data Quality Validation Testing Data quality validation testing is not just a best practice; it’s imperative.

Data Quality 117

Data Quality Unstructured Data Testing Interactive 117

Jim Harris

DECEMBER 24, 2015

Have you ever experienced that sinking feeling, where you sense if you don’t find data quality, then data quality will find you? These discussions are a critical prerequisite for determining data usage, standards, and the business relevant metrics for measuring and improving data quality.

Data Quality 56

Data Quality Enterprise Business Intelligence Data Governance 56

O'Reilly on Data

JUNE 18, 2019

Machine learning solutions for data integration, cleaning, and data generation are beginning to emerge. “AI AI starts with ‘good’ data” is a statement that receives wide agreement from data scientists, analysts, and business owners. Data integration and cleaning. Data unification and integration.

Machine Learning 264

Machine Learning Data Quality Statistics Modeling 264

DataKitchen

APRIL 13, 2021

Piperr.io — Pre-built data pipelines across enterprise stakeholders, from IT to analytics, tech, data science and LoBs. Prefect Technologies — Open-source data engineering platform that builds, tests, and runs data workflows. Genie — Distributed big data orchestration service by Netflix. Data breaks.

Testing 300

Testing Machine Learning Consulting Data Quality 300

Ontotext

MARCH 20, 2024

In today’s data-driven world, businesses are drowning in a sea of information. Traditional data integration methods struggle to bridge these gaps, hampered by high costs, data quality concerns, and inconsistencies. It’s a huge productivity loss.”

Data-driven 52

Data-driven Strategy Sales Data Integration 52

CIO Business Intelligence

MARCH 24, 2023

Data governance definition Data governance is a system for defining who within an organization has authority and control over data assets and how those data assets may be used. It encompasses the people, processes, and technologies required to manage and protect data assets.

Data Governance 142

Data Governance Management Metadata Data Quality 142

Smart Data Collective

SEPTEMBER 25, 2019

However, encryption technology for data protection is widely available. Only people with the key to decode the data can read it. Here are seven reasons to depend on encryption technology: 1. One of the top advantages of modern encryption technology is that you can apply it to all or most of the tech devices you use.

Technology 86

Technology Statistics Strategy Insurance 86

CIO Business Intelligence

APRIL 1, 2024

The research cited a lack of talent and skills to work with the technology (62%), unclear AI and GenAI investment priorities (47%), and the absence of a strategy for responsible AI (41%) as the top three obstacles. Ensure that data is cleansed, consistent, and centrally stored, ideally in a data lake. Right-size your model(s).

Data Lake 119

Data Lake Consulting Uncertainty Risk 119

Ontotext

FEBRUARY 14, 2024

Data integration If your organization’s idea of data integration is printing out multiple reports and manually cross-referencing them, you might not be ready for a knowledge graph. You need to do some work before you implement the technology and, thankfully, there are tools that can help with that.

Recreation/Entertainment 105

Recreation/Entertainment Data Integration Modeling Data Quality 105

datapine

NOVEMBER 27, 2019

Companies are no longer wondering if data visualizations improve analyses but what is the best way to tell each data-story. 2020 will be the year of data quality management and data discovery: clean and secure data combined with a simple and powerful presentation. 1) Data Quality Management (DQM).

Business Intelligence 361

Business Intelligence Analytics Prescriptive Analytics Data Quality 361

DataKitchen

OCTOBER 2, 2023

One of the most pressing issues is the ownership of databases by multiple data teams, each with its governance protocols, leading to a volatile data environment rife with inconsistencies and errors. This lack of control is exacerbated by many people and/or automated data ingestion processes introducing changes to the data.

Data Quality 100

Data Quality Testing Uncertainty Data Enablement 100

Smarten

APRIL 19, 2024

Nothing…and I DO mean NOTHING…is more prominent in technology buzz today than Artificial Intelligence (AI). In a recent survey of C-suite executives, 80% of said they believe AI will transform their organizations, and 64% said it is the most transformational technology in a generation. billion, with the market growing by 31.1%

Analytics 57

Analytics Predictive Modeling KPI Machine Learning 57

DataKitchen

JUNE 19, 2023

Another way to look at the five pillars is to see them in the context of a typical complex data estate. Data Journeys run on software, on servers, and with code. The major value here is a clear and comprehensive understanding of your technology’s status. Data engineers are unable to make these business judgments.

Testing 130

Testing Cost-Benefit Metrics Data Quality 130

CIO Business Intelligence

MARCH 4, 2024

Data fabric introduces an intelligent semantic layer that orchestrates disparate data sources, applications, and services into a unified and easily accessible framework. Enabled via a data integration hub, the data fabric architecture connects, organizes, and manages data, providing a consistent view across the data ecosystem.

Insurance 79

Insurance Strategy Data Governance Data Integration 79

Ontotext

APRIL 10, 2024

The data ecosystem today is crowded with dazzling buzzwords, all fighting for investment dollars. A survey in 2021 found that a data company was being funded every 45 minutes. Data ecosystems have become jungles and in spite of all the technology, data teams are struggling to create a modern data experience.

Metadata 52

Metadata Data Lake Data Warehouse Data Quality 52

DataKitchen

DECEMBER 9, 2022

ChatGPT> DataOps, or data operations, is a set of practices and technologies that organizations use to improve the speed, quality, and reliability of their data analytics processes. The goal of DataOps is to help organizations make better use of their data to drive business decisions and improve outcomes.

Machine Learning 130

Machine Learning Data-driven Optimization Modeling 130

Ontotext

JANUARY 10, 2024

The larger an organisation, the more complex it will naturally be, needing more people and technologies to serve a growing customer base – PwC, Is your organisation too complex to secure? And each of these gains requires data integration across business lines and divisions. We call this the Bad Data Tax.

Metadata 72

Metadata Slice and Dice Data Integration Enterprise 72

AWS Big Data

JULY 13, 2023

Altron is a pioneer of providing data-driven solutions for their customers by combining technical expertise with in-depth customer understanding to provide highly differentiated technology solutions. Data quality for account and customer data – Altron wanted to enable data quality and data governance best practices.

Optimization 91

Optimization B2B Data Quality Sales 91

CIO Business Intelligence

JANUARY 9, 2024

Few technologies have provoked the same amount of discussion and debate as artificial intelligence, with workers, high-profile executives, and world leaders waffling between praise and fears over AI. We want to make sure we enable the business to use new technologies; that’s my personal goal. So be prepared.

IT 118

IT Risk Cost-Benefit Enterprise 118

CIO Business Intelligence

MAY 8, 2024

Automic is the largest listed registry provider in Australia, with an integrated cloud-native platform that manages listed registry, funds, employee share plans, and investor analytics. Then we have to make sense of the data, massage it and import it in our system. The first is to reconcile the data.

Risk 100

Risk Testing Strategy Technology 100

Ontotext

MAY 16, 2024

Industry analyst reports place contextualized information and graph technologies at the center of their impact radar for emerging technologies. Acknowledging the significance of how these critical enablers define, contextualize, and constrain data for consistency and trust, is all part of the maturity process for today’s enterprise.

Enterprise 52

Enterprise Data-driven Cost-Benefit Digital Transformation 52

erwin

APRIL 29, 2020

Many large organizations, in their desire to modernize with technology, have acquired several different systems with various data entry points and transformation rules for data as it moves into and across the organization. Seeing data pipelines and information flows further supports compliance efforts. Data Quality.

Metadata 111

Metadata Key Performance Indicator Data Governance Data Quality 111

Ontotext

AUGUST 4, 2023

Working across data islands leads to siloed thinking and the inability to implement critical business initiatives such as Customer, Product, or Asset 360. As data is generated, stored, and used across data centers, edge, and cloud providers, managing a distributed storage environment is complex with no map to guide technology professionals.

Metadata 52

Metadata Data-driven Data Architecture Data Quality 52

CIO Business Intelligence

JANUARY 24, 2024

How enterprises gather, store, cleanse, access, and secure their data can be a major factor in their ability to meet corporate goals. Unfortunately, the road to data strategy success is fraught with challenges, so CIOs and other technology leaders need to plan and execute carefully.

Data Strategy 132

Data Strategy Strategy Unstructured Data Data Governance 132

DataKitchen

MAY 10, 2021

Another aspect of observability is creating the conditions that enable data teams to identify and resolve errors as quickly as possible. Make sure the data and the artifacts that you create from data are correct before your customer sees them. It’s not about data quality . It’s not only about the data.

Testing 214

Testing Manufacturing Data Quality Statistics 214

Ontotext

DECEMBER 1, 2023

It enriched their understanding of the full spectrum of knowledge graph business applications and the technology partner ecosystem needed to turn data into a competitive advantage. Content and data management solutions based on knowledge graphs are becoming increasingly important across enterprises.

Metadata 78

Metadata Sales Consulting Enterprise 78

AWS Big Data

DECEMBER 13, 2023

In addition to using native managed AWS services that BMS didn’t need to worry about upgrading, BMS was looking to offer an ETL service to non-technical business users that could visually compose data transformation workflows and seamlessly run them on the AWS Glue Apache Spark-based serverless data integration engine.

Metadata 88

Metadata Data Lake Visualization Data Transformation 88

Ontotext

FEBRUARY 19, 2020

Paradoxically, even without a shared definition and common methodology, the knowledge graph (and its discourse) has steadily settled in the discussion about data management, data integration and enterprise digital transformation. Here is our list of how to build a knowledge graph: Clarify your business/data requirements.

Modeling 90

Modeling Knowledge Discovery Data Quality Visualization 90

IBM Big Data Hub

DECEMBER 16, 2022

An enterprise data catalog does all that a library inventory system does – namely streamlining data discovery and access across data sources – and a lot more. For example, data catalogs have evolved to deliver governance capabilities like managing data quality and data privacy and compliance.

Metadata 52

Metadata Data Quality Data-driven Data Governance 52

AWS Big Data

DECEMBER 21, 2023

Movement of data across data lakes, data warehouses, and purpose-built stores is achieved by extract, transform, and load (ETL) processes using data integration services such as AWS Glue. AWS Glue provides both visual and code-based interfaces to make data integration effortless.

Analytics 96

Analytics IT Data Lake Visualization 96

CIO Business Intelligence

APRIL 29, 2022

As someone who is passionate about the transformative power of technology, it is fascinating to see intelligent computing – in all its various guises – bridge the schism between fantasy and reality. This first article emphasizes data as the ‘foundation-stone’ of AI-based initiatives. Establishing a Data Foundation.

Data Governance 142

Data Governance IT Risk Data Lake 142

Jet Global

MAY 9, 2024

Batch processing pipelines are designed to decrease workloads by handling large volumes of data efficiently and can be useful for tasks such as data transformation, data aggregation, data integration , and data loading into a destination system. structured, semi-structured, or unstructured data).

Data Lake 52

Data Lake Data Warehouse Business Intelligence Machine Learning 52

AWS Big Data

JULY 20, 2023

Orca connects to your environment in minutes with patented SideScanning technology to provide complete coverage across vulnerabilities, malware, misconfigurations, lateral movement risk, weak and leaked passwords, overly permissive identities, and more. In addition, we describe the Orca Platform architecture and the technologies used.

Data Lake 87

Data Lake Analytics Snapshot Optimization 87