Octopai

JUNE 26, 2020

In order to figure out why the numbers in the two reports didn’t match, Steve needed to understand everything about the data that made up those reports – when the report was created, who created it, any changes made to it, which system it was created in, etc. Enterprise data governance. Metadata in data governance.

Metadata 98

Metadata Data Governance Enterprise Reporting 98

CIO Business Intelligence

APRIL 30, 2025

Cloud-based data-warehousing company Snowflake has taken this to heart with their Sales Assistant, an internal agentic AI tool designed to empower their global sales team with instant, data-driven insights, resulting in time savings and improved targeting. And around 45% also cite data governance and compliance concerns.

IT 132

IT Sales Cost-Benefit Data-driven 132

erwin

MAY 13, 2020

The role of data modeling (DM) has expanded to support enterprise data management, including data governance and intelligence efforts. After all, you can’t manage or govern what you can’t see, much less use it to make smart decisions. Types of Data Models: Conceptual, Logical and Physical.

Data Governance 93

Data Governance Enterprise Modeling Management 93

erwin

NOVEMBER 6, 2020

Prashant Parikh, erwin’s Senior Vice President of Software Engineering, talks about erwin’s vision to automate every aspect of the data governance journey to increase speed to insights. Although AI and ML are massive fields with tremendous value, erwin’s approach to data governance automation is much broader.

Data Governance 97

Data Governance Metadata Data-driven Visualization 97

DataKitchen

APRIL 13, 2021

We have also included vendors for the specific use cases of ModelOps, MLOps, DataGovOps and DataSecOps which apply DataOps principles to machine learning, AI, data governance, and data security operations. . QuerySurge – Continuously detect data issues in your delivery pipelines. Meta-Orchestration .

Testing 304

Testing Machine Learning Consulting Data Science 304

BI-Survey

FEBRUARY 17, 2020

Data and data management processes are everywhere in the organization so there is a growing need for a comprehensive view of business objects and data. It is therefore vital that data is subject to some form of overarching control, which should be guided by a data strategy. This is where data governance comes in.

Data Governance 89

Data Governance Data Warehouse Data Quality Data Strategy 89

David Menninger's Analyst Perspectives

OCTOBER 8, 2024

I assert that through 2027, three-quarters of enterprises will be engaged in data intelligence initiatives to increase trust in their data by leveraging metadata to understand how, when and where data is used in their organization, and by whom. Regards, Matt Aslett

Data Quality 130

Data Quality Data Governance Enterprise Visualization 130

erwin

JANUARY 17, 2020

What is Data Modeling? Data modeling is a process that enables organizations to discover, design, visualize, standardize and deploy high-quality data assets through an intuitive, graphical interface. Data models provide visualization, create additional metadata and standardize data design across the enterprise.

Data-driven 138

Data-driven Modeling Metadata Data Governance 138

IBM Big Data Hub

JULY 13, 2023

When we talk about data integrity, we’re referring to the overarching completeness, accuracy, consistency, accessibility, and security of an organization’s data. Together, these factors determine the reliability of the organization’s data. In short, yes.

Data Quality 63

Data Quality Data Integration Metadata Cost-Benefit 63

CIO Business Intelligence

AUGUST 9, 2024

At Atlanta’s Hartsfield-Jackson International Airport, an IT pilot has led to a wholesale data journey destined to transform operations at the world’s busiest airport, fueled by machine learning and generative AI. He is a very visual person, so our proof of concept collects different data sets and ingests them into our Azure data house.

Data Transformation 126

Data Transformation Machine Learning Data Lake Dashboards 126

Smart Data Collective

NOVEMBER 24, 2020

Business intelligence software will be more geared towards working with Big Data. Data Governance. One issue that many people don’t understand is data governance. It is evident that challenges of data handling will be present in the future too. Advantage: unpaired control over data. .

Business Intelligence 134

Business Intelligence Visualization Dashboards Prescriptive Analytics 134

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. Data lineage offers proof that the data provided is reflected accurately. Data Governance.

Key Performance Indicator 111

Key Performance Indicator Metadata Data Governance Data Quality 111

erwin

MAY 27, 2020

And it exists across these hybrid architectures in different formats: big and unstructured and traditional structured business data may physically sit in different places. What’s desperately needed is a way to understand the relationships and interconnections between so many entities in data sets in detail.

Modeling 98

Modeling Metadata Data Governance Visualization 98

AWS Big Data

OCTOBER 21, 2024

Let’s briefly describe the capabilities of the AWS services we referred above: AWS Glue is a fully managed, serverless, and scalable extract, transform, and load (ETL) service that simplifies the process of discovering, preparing, and loading data for analytics.

Sales 115

Sales Data-driven Data Processing Key Performance Indicator 115

AWS Big Data

NOVEMBER 15, 2023

You can learn about data integration technologies and strategies with sessions such as ANT326: Set up a zero-ETL based analytics architecture for your organizations, ANT331: Build an end-to-end data strategy for analytics and generative AI, and ANT218: Unified and integrated near real-time analytics with zero-ETL.

Broadcasting 119

Broadcasting Recreation/Entertainment Data Governance Strategy 119

datapine

FEBRUARY 22, 2022

IT should be involved to ensure governance, knowledge transfer, data integrity, and the actual implementation. While privacy and security are tight to each other, there are other ways in which data can be misused and you need to make sure you are carefully considering this when building your strategies.

Business Intelligence 218

Business Intelligence Strategy Cost-Benefit Dashboards 218

AWS Big Data

JULY 29, 2024

This ensures that each change is tracked and reversible, enhancing data governance and auditability. History and versioning : Iceberg’s versioning feature captures every change in table metadata as immutable snapshots, facilitating data integrity, historical views, and rollbacks.

Metadata 126

Metadata Snapshot Data Lake Metrics 126

AWS Big Data

AUGUST 13, 2024

In today’s data-driven world, seamless integration and transformation of data across diverse sources into actionable insights is paramount. With AWS Glue, you can discover and connect to hundreds of diverse data sources and manage your data in a centralized data catalog. Choose the Job details tab.

Data Processing 115

Data Processing Visualization Data Lake Data Processing 115

FineReport

JUNE 7, 2024

In 2024, data visualization companies play a pivotal role in transforming complex data into captivating narratives. This blog provides an insightful exploration of the leading entities shaping the data visualization landscape. Market Impact The impact a company has on the market speaks volumes about its success.

Visualization 52

Visualization Predictive Analytics Dashboards Predictive Modeling 52

FineReport

JUNE 18, 2024

Unlock the power of data visualization in your decision-making process by partnering with a data visualization consultant. These experts transform complex data into insightful visuals, enabling you to identify trends and make strategic choices with confidence.

Consulting 52

Consulting Visualization Cost-Benefit Dashboards 52

AWS Big Data

MAY 23, 2024

In today’s data-driven world, organizations often deal with data from multiple sources, leading to challenges in data integration and governance. This process is crucial for maintaining data integrity and avoiding duplication that could skew analytics and insights. cast('int')).drop("z_minScore",

Machine Learning 119

Machine Learning Interactive Recreation/Entertainment Data Integration 119

AWS Big Data

AUGUST 19, 2024

As organizations increasingly rely on data stored across various platforms, such as Snowflake , Amazon Simple Storage Service (Amazon S3), and various software as a service (SaaS) applications, the challenge of bringing these disparate data sources together has never been more pressing. Choose the Job details tab.

Analytics 119

Analytics Data-driven Data Integration Data Lake 119

AWS Big Data

MARCH 26, 2024

In this post, we discuss how you can use purpose-built AWS services to create an end-to-end data strategy for C360 to unify and govern customer data that address these challenges. You can use the same capabilities to serve financial reporting, measure operational performance, or even monetize data assets.

Data Strategy 98

Data Strategy Strategy Data Warehouse Prescriptive Analytics 98

Cloudera

FEBRUARY 15, 2024

By leveraging cutting-edge technology and an efficient framework for managing, analyzing, and securing data, financial institutions can streamline operations and enhance their ability to meet compliance requirements efficiently, while maintaining a strong focus on risk management.

Insurance 88

Insurance Data Architecture Risk Management Risk 88

Jen Stirrup

MARCH 29, 2023

However, to turn data into a business problem, organizations need support to move away from technical issues to start getting value as quickly as possible. SAP Datasphere simplifies data integration, cataloging, semantic modeling, warehousing, federation, and virtualization through a unified interface. Why is this interesting?

Data Warehouse 121

Data Warehouse Metadata Data Integration Business Intelligence 121

IBM Big Data Hub

APRIL 27, 2022

The data fabric architectural approach can simplify data access in an organization and facilitate self-service data consumption at scale. Read: The first capability of a data fabric is a semantic knowledge data catalog, but what are the other 5 core capabilities of a data fabric? 11 May 2021. .

Management 79

Management Metadata Data Architecture Data Lake 79

CIO Business Intelligence

AUGUST 2, 2023

The layer cake metaphor shifts the data discussion from an IT discussion to the intersection of business strategy and technology. So it’s about how we create layers from the business concept, like advancing discovery, all the way down to a technology solution, like a visualization tool. Does the data live in one or many clouds?

Manufacturing 98

Manufacturing Data Architecture Data Strategy Strategy 98

Octopai

JANUARY 31, 2021

Another podcast we think is worth a listen is Agile Data. Throughout each episode, hosts Shane and Nigel discuss how to incorporate agile techniques when teams deliver analytics, data, and visualizations. Topics they chat about include: going serverless, data layers, and how to adapt for a “BI Lifecycle.”

Data Governance 83

Data Governance Data Processing Data Quality Metadata 83

erwin

DECEMBER 9, 2024

And if it isnt changing, its likely not being used within our organizations, so why would we use stagnant data to facilitate our use of AI? The key is understanding not IF, but HOW, our data fluctuates, and data observability can help us do just that. And lets not forget about the controls.

Metadata 52

Metadata Data Quality Sales Modeling 52

Birst BI

FEBRUARY 13, 2018

The user can’t be assumed to be an internal user who can be trained, so intuitive visualization and interfaces are a must.”. Birst’s Networked approach to BI and analytics enables a single view of data, eliminating data silos. Data-management capabilities, including data integration and self-service data preparation.

Business Intelligence 66

Business Intelligence Diagnostic Analytics Analytics Visualization 66

IBM Big Data Hub

JUNE 29, 2023

Data integration and analytics IBP relies on the integration of data from different sources and systems. This may involve consolidating data from enterprise resource planning (ERP) systems, customer relationship management (CRM) systems, supply chain management systems, and other relevant sources.

Key Performance Indicator 76

Key Performance Indicator Forecasting Sales Data Integration 76

CIO Business Intelligence

NOVEMBER 21, 2023

Develop citizen data science and self-service capabilities CIOs have embraced citizen data science because data visualization tools and other self-service business intelligence platforms are easy for business people to use and reduce the reporting and querying work IT departments used to support.

IT 137

IT Risk Cost-Benefit Data Science 137

Alation

MAY 16, 2023

Data Pipeline Use Cases Here are just a few examples of the goals you can achieve with a robust data pipeline: Data Prep for Visualization Data pipelines can facilitate easier data visualization by gathering and transforming the necessary data into a usable state.

Data Lake 69

Data Lake Data Governance Data Warehouse Data Processing 69

AWS Big Data

SEPTEMBER 13, 2024

To share data to our internal consumers, we use AWS Lake Formation with LF-Tags to streamline the process of managing access rights across the organization. Data integration workflow A typical data integration process consists of ingestion, analysis, and production phases.

Interactive 107

Interactive Strategy Cost-Benefit Data Governance 107

Octopai

MAY 15, 2023

By analyzing this information, organizations can optimize their infrastructure and storage strategies, avoiding unnecessary storage costs and efficiently allocating resources based on data usage patterns. Data integration and ETL costs: Large organizations often deal with complex data integration and Extract, Transform, Load (ETL) processes.

Data Quality 52

Data Quality Data Governance Data Integration Risk 52

AWS Big Data

FEBRUARY 26, 2025

The next generation of SageMaker also introduces new capabilities, including Amazon SageMaker Unified Studio (preview) , Amazon SageMaker Lakehouse , and Amazon SageMaker Data and AI Governance. enables you to develop, run, and scale your data integration workloads and get insights faster. With AWS Glue 5.0, AWS Glue 5.0

Analytics 61

Analytics Data Lake Metadata Data Warehouse 61

erwin

SEPTEMBER 16, 2024

The gold standard in data modeling solutions for more than 30 years continues to evolve with its latest release, highlighted by: PostgreSQL 16.x Migration and modernization : It enables seamless transitions between legacy systems and modern platforms, ensuring your data architecture evolves without disruption.

Modeling 52

Modeling Visualization Data Governance Data Architecture 52