CIO Business Intelligence

JUNE 16, 2022

Any enterprise data management strategy has to begin with addressing the 800-pound gorilla in the corner: the “innovation gap” that exists between IT and business teams. Most organizations (81%) don’t have an enterprise data strategy that enables them to fully capitalize on their data assets, according to Accenture.

IT 118

IT Experimentation IoT Data-driven 118

CIO Business Intelligence

AUGUST 2, 2023

A data and analytics capability cannot emerge from an IT or business strategy alone. With both technology and business organization deeply involved in the what, why, and how of data, companies need to create cross-functional data teams to get the most out of it. That strategy is doomed to fail. What are the layers?

Manufacturing 80

Manufacturing Data Architecture Strategy Data Strategy 80

Data Virtualization

JULY 8, 2020

In my last post, I covered some of the latest best practices for enhancing data management capabilities in the cloud. Despite the increasing popularity of cloud services, enterprises continue to struggle with creating and implementing a comprehensive cloud strategy that.

Data Integration 52

Data Integration Strategy Enterprise Management 52

Data Virtualization

MARCH 3, 2021

Data is the fuel of the digital economy, so data-centric organizations have a distinct advantage. To remain competitive, organizations must have a data management strategy in place to effectively ingest, store, organize, and analyze data while ensuring that it is.

Management 59

Management Enterprise Strategy Data Lake 59

Data Virtualization

MARCH 3, 2021

Data is the fuel of the digital economy, so data-centric organizations have a distinct advantage. To remain competitive, organizations must have a data management strategy in place to effectively ingest, store, organize, and analyze data while ensuring that it is.

Management 52

Management Enterprise Strategy Data Lake 52

CIO Business Intelligence

NOVEMBER 9, 2022

By Bryan Kirschner, Vice President, Strategy at DataStax One of the most painful – and pained – statements I’ve heard in the last two years was from an IT leader who said, “my team is struggling to find ways that our company’s data could be valuable to the business.” Leveraging real-time data used to be a technology problem.

IT 79

IT Uncertainty Sales Strategy 79

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

OCTOBER 3, 2023

Over the years, data lakes on Amazon Simple Storage Service (Amazon S3) have become the default repository for enterprise data and are a common choice for a large set of users who query data for a variety of analytics and machine leaning use cases. Analytics use cases on data lakes are always evolving.

Data Lake 102

Data Lake Metadata Snapshot Recreation/Entertainment 102

CIO Business Intelligence

MAY 2, 2022

Srinivasan will share Petco’s ongoing data journey at CIO’s Future of Data Summit , taking place virtually May 10-11. Focusing on creating the intelligent organization, the event will gather technology executives to discuss both strategy and concrete implementation tactics.

Advertising 79

Advertising Data Governance Insurance Strategy 79

CIO Business Intelligence

APRIL 25, 2022

The other 10% represents the effort of initial deployment, data-loading, configuration and the setup of administrative tasks and analysis that is specific to the customer, the Henschen said. The joint solution with Labelbox is targeted toward media companies and is expected to help firms derive more value out of unstructured data.

Recreation/Entertainment 107

Recreation/Entertainment Data Lake Data Warehouse Unstructured Data 107

Data Virtualization

NOVEMBER 17, 2022

The idea seems, on the face of it, easy to understand: a data catalog is simply a centralized inventory of the data assets within an organization. Data catalogs also seek to be the. The post Choosing a Data Catalog: Data Map or Data Delivery App?

Data Integration 59

Data Integration Management Data Lake IT 59

BizAcuity

MAY 24, 2022

The vendor provides the hardware and software tools which are typically required for developing, running, maintaining and managing applications. On-premises CRM solution puts the burden of database management, control, security, and maintenance on the company. When adopting a cloud strategy, at the beginning, sky’s the limit.

Data-driven 52

Data-driven Cost-Benefit Digital Transformation Strategy 52

CIO Business Intelligence

FEBRUARY 20, 2023

Salesforce Administrator A Salesforce Certified Administrator manages and maintains an organization’s Salesforce CRM system. This includes creating and modifying user accounts, managing data, creating and maintaining custom fields and objects, and configuring the system to meet organizational needs.

Consulting 59

Consulting B2B Cost-Benefit Sales 59

erwin

DECEMBER 12, 2019

But in many scenarios, it seems that the underlying driver of metadata collection projects is that it’s just something you do for data governance. Managing metadata should not be a sub-goal of data governance. Quite simply, metadata is data about data. What Is Metadata? Giving Metadata Meaning.

Metadata 84

Metadata Data Governance Digital Transformation Data Quality 84

Data Virtualization

MAY 13, 2022

Reading Time: 3 minutes Join our conversation on All Things Data with Robin Tandon, Director of Product Marketing at Denodo (EMEA & LATAM), with a focus on how data virtualization helps customers realize true economic benefits in as little as six weeks.

Data Integration 52

Data Integration Marketing Management Data Warehouse 52

BizAcuity

APRIL 6, 2022

Hence, a lot of time and effort should be invested into research and development, hedging and risk management. Crypto casinos need a solid operation strategy, an analytics platform and a fail-safe mechanism in place. Moreover, there should be a powerful data management and analytics pipeline for operational usage.

Data Analytics 52

Data Analytics Analytics B2B Deep Learning 52

AWS Big Data

JANUARY 12, 2024

There are many reasons for customers to migrate to AWS, but one of the main reasons is the ability to use fully managed services rather than spending time maintaining infrastructure, patching, monitoring, backups, and more. Amazon Kinesis and Amazon MSK also have capabilities to stream data directly to a data lake on Amazon S3.

Data Lake 94

Data Lake Cost-Benefit Visualization Structured Data 94

erwin

DECEMBER 12, 2019

But in many scenarios, it seems that the underlying driver of metadata collection projects is that it’s just something you do for data governance. Managing metadata should not be a sub-goal of data governance. Quite simply, metadata is data about data. What Is Metadata? Giving Metadata Meaning.

Metadata 52

Metadata Data Governance Digital Transformation Data Quality 52

Cloudera

FEBRUARY 15, 2024

While there are clear reasons SVB collapsed, which can be reviewed here , my purpose in this post isn’t to rehash the past but to present some of the regulatory and compliance challenges financial (and to some degree insurance) institutions face and how data plays a role in mitigating and managing risk.

Insurance 88

Insurance Data Architecture Risk Management Risk 88

IBM Big Data Hub

MAY 15, 2024

Unified, governed data can also be put to use for various analytical, operational and decision-making purposes. This process is known as data integration, one of the key components to a strong data fabric. The remote execution engine is a fantastic technical development which takes data integration to the next level.

Cost-Benefit 67

Cost-Benefit Data Integration Data Architecture Manufacturing 67

AWS Big Data

FEBRUARY 9, 2023

Customers across industries seek meaningful insights from the data captured in their Customer Relationship Management (CRM) systems. To achieve this, they combine their CRM data with a wealth of information already available in their data warehouse, enterprise systems, or other software as a service (SaaS) applications.

Data Warehouse 76

Data Warehouse Data-driven Snapshot Testing 76

CIO Business Intelligence

NOVEMBER 29, 2022

Increasing ROI for the business requires a strategic understanding of — and the ability to clearly identify — where and how organizations win with data. It’s the only way to drive a strategy to execute at a high level, with speed and scale, and spread that success to other parts of the organization.

Data Architecture 96

Data Architecture Data Integration IoT Strategy 96

IBM Big Data Hub

JUNE 21, 2022

Today, organizations are experiencing relentless data growth spurred by the digital acceleration of the past two years. While this period presents a great opportunity for data management, it has also created phenomenal complexity as businesses take on hybrid and multicloud environments. .

Data Strategy 52

Data Strategy Strategy Data-driven Enterprise 52

AWS Big Data

MARCH 26, 2024

A Gartner Marketing survey found only 14% of organizations have successfully implemented a C360 solution, due to lack of consensus on what a 360-degree view means, challenges with data quality, and lack of cross-functional governance structure for customer data.

Data Strategy 68

Data Strategy Strategy Data Warehouse Prescriptive Analytics 68

Cloudera

SEPTEMBER 7, 2023

Perhaps the biggest challenge of all is that AI solutions—with their complex, opaque models, and their appetite for large, diverse, high-quality datasets—tend to complicate the oversight, management, and assurance processes integral to data management and governance. AI-ify risk management.

Insurance 83

Insurance Risk Data-driven Finance 83

Ontotext

FEBRUARY 7, 2024

However, what we usually don’t talk about when generating an asset, are the huge invisible or unplanned costs occurring at a later stage when the data needs to be made available for analysis or secondary usage. As a result, a big portion of the IT capacity in Pharma is bound by data integration. So, where do we go wrong?

Metadata 52

Metadata Data Integration Measurement Data-driven 52

AWS Big Data

AUGUST 31, 2023

Amazon Redshift is a fast, fully managed petabyte-scale cloud data warehouse that makes it simple and cost-effective to analyze all your data using standard SQL and your existing business intelligence (BI) tools. This enables you to easily manage and maintain your tables on transactional data lakes.

Data Lake 93

Data Lake Data Warehouse Metadata Data Architecture 93

IBM Big Data Hub

JANUARY 17, 2023

IBM Cloud Pak for Data Express solutions offer clients a simple on ramp to start realizing the business value of a modern architecture. Data governance. The data governance capability of a data fabric focuses on the collection, management and automation of an organization’s data. Data integration.

Data-driven 56

Data-driven Enterprise Data Governance Prescriptive Analytics 56

AWS Big Data

NOVEMBER 29, 2023

In 2013, Amazon Web Services revolutionized the data warehousing industry by launching Amazon Redshift , the first fully-managed, petabyte-scale, enterprise-grade cloud data warehouse. Amazon Redshift made it simple and cost-effective to efficiently analyze large volumes of data using existing business intelligence tools.

Data Warehouse 100

Data Warehouse Data Lake Analytics Machine Learning 100

Andrew White

JANUARY 9, 2022

Here is a recent note on synthetic data: Maverick* Research: Forget About Your Real Data — Synthetic Data Is the Future of AI. What are your thoughts on a data mesh vs. data fabric in large heterogeneous environments? – This is a question for our data management team. Try Mark Beyer.

Analytics 64

Analytics Measurement Modeling Data-driven 64

Jen Stirrup

MARCH 29, 2023

What does a sound, intelligent data foundation give you? It can give business-oriented data strategy for business leaders to help drive better business decisions and ROI. It can also increase productivity by enabling the business to find the data they need when the business teams need it. Why is this interesting?

Metadata 121

Metadata Data Warehouse Data Integration Business Intelligence 121

Alation

JULY 28, 2022

What Are the Biggest Drivers of Cloud Data Warehousing? It’s costly and time-consuming to manage on-premises data warehouses — and modern cloud data architectures can deliver business agility and innovation. Those planning their migration to a cloud data warehouse would be wise to map out a strategy.

Data Warehouse 69

Data Warehouse Cost-Benefit Data Governance Data-driven 69

Alation

JANUARY 25, 2022

Data fabric is now on the minds of most data management leaders. In our previous blog, Data Mesh vs. Data Fabric: A Love Story , we defined data fabric and outlined its uses and motivations. Gartner is explicit: Data catalogs play a foundational role in the data fabric. Simply put?

Metadata 52

Metadata IT Metrics Data-driven 52

IBM Big Data Hub

SEPTEMBER 12, 2022

The journey starts with having a multimodal data governance framework that is underpinned by a robust data architecture like data fabric. A data fabric is an architectural approach that simplifies data consumption across a diverse and distributed landscape, while adhering to data privacy requirements.

Metadata 91

Metadata Data Governance Enterprise Data Architecture 91

AWS Big Data

JULY 20, 2023

With data becoming the driving force behind many industries today, having a modern data architecture is pivotal for organizations to be successful. Moreover, running advanced analytics and ML on disparate data sources proved challenging. To overcome these issues, Orca decided to build a data lake.

Data Lake 87

Data Lake Analytics Snapshot Optimization 87

BI-Survey

NOVEMBER 23, 2021

The transactional data was stored in isolated data sets and initially served only one purpose, namely, to document the transaction that had taken place. Over time, enterprises realized that data is worth more. However, the operational data stored in data silos was not suitable for this task.

Digital Transformation 52

Digital Transformation Data Warehouse Data Lake Data-driven 52

AWS Big Data

JUNE 10, 2024

A modern data strategy redefines and enables sharing data across the enterprise and allows for both reading and writing of a singular instance of the data using an open table format. This approach was deemed efficient and effectively mitigated Amazon S3 throttling problems.

Data Lake 99

Data Lake Metadata Snapshot Analytics 99