Data Virtualization

NOVEMBER 25, 2021

The market for data lakes has recently seen an impressive wave of new-generation engines that provide highly efficient processing of very large data volumes stored in distributed file systems, like S3, ADLS and others. With low cost of storage in.

Data Lake 52

Data Lake Strategy Marketing Optimization 52

Jet Global

SEPTEMBER 4, 2020

There is an established body of practice around creating, managing, and accessing OLAP data (known as “cubes”). Data Lakes. There has been a lot of talk over the past year or two in the D365F&SCM world about “data lakes.” Traditional databases and data warehouses do not lend themselves to that task.

Data Lake 88

Data Lake OLAP Data Warehouse Unstructured Data 88

Jet Global

JULY 2, 2019

To address the flood of data and the needs of enterprise businesses to store, sort, and analyze that data, a new storage solution has evolved: the data lake. What’s in a Data Lake? All the while, your marketing team is relying on marketing automation or CRM software they find the most productive.

Data Lake 73

Data Lake Data Warehouse Big Data Machine Learning 73

David Menninger's Analyst Perspectives

FEBRUARY 26, 2021

Ventana Research recently announced its 2021 Market Agenda for data, continuing the guidance we have offered for nearly two decades to help organizations derive optimal value and improve business outcomes.

Marketing 171

Marketing Optimization IT Data Lake 171

David Menninger's Analyst Perspectives

OCTOBER 19, 2021

Our research shows that more than three-quarters (77%) of participants consider external data to be an important part of their machine learning (ML) efforts. The most important external data source identified is social media, followed by demographic data from data brokers.

Data Lake 260

Data Lake Analytics Machine Learning Marketing 260

Alation

FEBRUARY 20, 2020

When they see a data catalog for the first time, they’re thrilled that a product exists that can govern the west and increase analyst productivity. This week Dresner Advisory Services released their Data Catalog Market Study and BI end users validated the market for data catalogs.

Marketing 52

Marketing Data Lake Dashboards Business Intelligence 52

CIO Business Intelligence

APRIL 25, 2024

The data becomes part of Salesforce’s metadata framework and can thus be used in multiple ways, including generating BI or AI insights, marketing segmentation or activation, or creating unified customer experiences. Sharing Customer 360 insights back without data replication. Maintain governance and security.

Data Integration 98

Data Integration Data Lake Metadata Data Warehouse 98

Boris Evelson

JUNE 14, 2023

No matter what technology foundation you’re using – a data lake, a data warehouse, data fabric, data mesh, etc. – BI applications are where business users consume data and turn it into actionable insights and decisions. The BI market has […]

Business Intelligence 98

Business Intelligence Data Lake Data Warehouse Data-driven 98

DataKitchen

AUGUST 19, 2021

During the launch phase, the focus is on marketing to patients through consumer channels. As generic alternatives become available, the market enters the maturity phase where cost efficiency and margins become most important. There are different teams within the pharmaceutical company that focus on the respective target markets.

Data Warehouse 246

Data Warehouse Data Lake Manufacturing Testing 246

CIO Business Intelligence

MARCH 29, 2024

“Generative AI is becoming the virtual knowledge worker with the ability to connect different data points, summarize and synthesize insights in seconds, allowing us to focus on more high-value-add tasks,” says Ritu Jyoti, group vice president of worldwide AI and automation market research and advisory services at IDC. “It

Data Lake 122

Data Lake Machine Learning Data Warehouse Unstructured Data 122

BizAcuity

JULY 13, 2021

Optimize your Go To Market: The gaming business consists of various applications like the gaming platforms (Casino, Live Dealer, Poker, Sports, Bingo, etc.), account platform, payment, affiliate, loyalty system, bonus and promotion systems, financial application, CRM system, and many others. Data Enrichment/Data Warehouse Layer.

Optimization 52

Optimization Marketing Analytics Data Warehouse 52

CIO Business Intelligence

APRIL 26, 2024

The information and insights company’s foundation remains ensuring that every consumer is accurately represented in the market. billion acquisition of data and analytics company Neustar in 2021, TransUnion has expanded into other services such as marketing, fraud detection and prevention, and robust analytical services.

Modeling 100

Modeling IT Machine Learning Data Governance 100

CIO Business Intelligence

JULY 26, 2023

The second cloud-native application, called Command Market Center, is a CRM solution for the company’s brokerages and market centers globally, Cox says. Finally, the IT team developed a digital market center that offers event management as well as training and education content.

Data Lake 97

Data Lake Digital Transformation Machine Learning Data Architecture 97

AWS Big Data

JANUARY 24, 2024

AWS-powered data lakes, supported by the unmatched availability of Amazon Simple Storage Service (Amazon S3), can handle the scale, agility, and flexibility required to combine different data and analytics approaches. He is passionate about building products customers love and helping customers extract value from their data.

Snapshot 96

Snapshot Data Lake Metadata Optimization 96

CIO Business Intelligence

MARCH 18, 2024

As more businesses look to carve out an advantage in an increasingly competitive market, many are turning toward cloud computing—particularly hybrid cloud approaches that blend the power of the mainframe with the innovation of the cloud—to make the most of their data.

Cost-Benefit 92

Cost-Benefit Data Lake Machine Learning Data Integration 92

DataKitchen

JANUARY 25, 2022

The strategic value of analytics is widely recognized, but the turnaround time of analytics teams typically can’t support the decision-making needs of executives coping with fast-paced market conditions. When internal resources fall short, companies outsource data engineering and analytics.

Consulting 244

Consulting Testing Data Lake Data Quality 244

DataKitchen

JUNE 12, 2023

We had been talking about “Agile Analytic Operations,” “DevOps for Data Teams,” and “Lean Manufacturing For Data,” but the concept was hard to get across and communicate. I spent much time de-categorizing DataOps: we are not discussing ETL, Data Lake, or Data Science.

Testing 130

Testing Data Lake Dashboards Data Science 130

Dataiku

DECEMBER 30, 2022

In helping organizations around the globe set up and implement their data science and AI strategies, we often hear teams say that they’re waiting to figure out their data first before beginning to generate value with advanced analytics and AI — whether they’re referring to data quality, data silos, or centralization in a data lake.

Data Lake 64

Data Lake IT Data Quality Data Science 64

Cloudera

JUNE 2, 2022

One of the critical requirements that has materialized is the need for companies to take control of their data flows from origination through all points of consumption both on-premise and in the cloud in a simple, secure, universal, scalable, and cost-effective way. What are the key capabilities that a data distribution service has to have?

Enterprise 98

Enterprise Data Lake Data Collection Data-driven 98

CIO Business Intelligence

NOVEMBER 29, 2023

In the future, we’ll connect all production and application servers to this and build our own data lake,” he says, adding that the next step will be to use AI there to learn from their own data. Only production software and machines that can’t have latency remain on site.

IT 102

IT Data Lake Strategy IoT 102

DataKitchen

AUGUST 27, 2021

During the product launch, everyone in the sales and marketing organizations is hyper-focused on business development. Marketing invests heavily in multi-level campaigns, primarily driven by data analytics. The data team must be able to respond rapidly and with a high degree of quality and certainty to user requests.

Analytics 246

Analytics Sales Testing Cost-Benefit 246

CIO Business Intelligence

APRIL 25, 2022

The data lakehouse is a relatively new data architecture concept, first championed by Cloudera, which offers both storage and analytics capabilities as part of the same solution, in contrast to the concepts for data lake and data warehouse which, respectively, store data in native format, and structured data, often in SQL format.

Recreation/Entertainment 115

Recreation/Entertainment Data Lake Data Warehouse Unstructured Data 115

CIO Business Intelligence

APRIL 9, 2024

We just came out of the gates fast, and we just kept solving problems,” the CIO says, noting that his team was experimenting with Azure LLMs before they were on the market. “We “We were positioned correctly. We were trying to take advantage of the technology and make the right moves. We did not realize we were that far ahead.”

Digital Transformation 95

Digital Transformation Machine Learning Data Lake Software 95

AWS Big Data

AUGUST 31, 2023

Amazon Redshift enables you to directly access data stored in Amazon Simple Storage Service (Amazon S3) using SQL queries and join data across your data warehouse and data lake. With Amazon Redshift, you can query the data in your S3 data lake using a central AWS Glue metastore from your Redshift data warehouse.

Data Lake 89

Data Lake Data Warehouse Metadata Data Architecture 89

IBM Big Data Hub

APRIL 15, 2024

An inaccurate AI prediction in a marketing campaign is a minor nuisance, but an inaccurate AI prediction on a manufacturing shopfloor can be fatal. Or we create a data lake, which quickly degenerates to a data swamp. And manufacturers face pressure to constantly innovate while ensuring stability and safety.

Manufacturing 100

Manufacturing Contextual Data Knowledge Discovery Modeling 100

AWS Big Data

MARCH 27, 2023

Amazon Redshift Serverless makes it simple to run and scale analytics without having to manage your data warehouse infrastructure. Solution overview Let’s say that your company has two departments: marketing and finance. Choose Remove next to the marketing tag. Choose Save changes. Confirm the changes by choosing Apply changes.

Data Warehouse 81

Data Warehouse Management Snapshot Data Lake 81

CIO Business Intelligence

OCTOBER 25, 2022

And they needed a place to store that data—they lacked infrastructure that could manage both the terabytes pouring off the sensors and the coupling customer data (which resided within enterprise platforms such as ERP, transportation, and supply & demand planning). So, they built a data-lake.

Data Strategy 143

Data Strategy Strategy Data Lake Data-driven 143

CIO Business Intelligence

JULY 13, 2022

One of the critical requirements that has materialized is the need for companies to take control of their data flows from origination through all points of consumption both on-premise and in the cloud in a simple, secure, universal, scalable, and cost-effective way. What are the key capabilities that a data distribution service has to have?

Enterprise 64

Enterprise Data Lake Data Collection Data-driven 64

CIO Business Intelligence

FEBRUARY 16, 2023

Selling the value of data transformation Iyengar and his team are 18 months into a three- to five-year journey that started by building out the data layer — corralling data sources such as ERP, CRM, and legacy databases into data warehouses for structured data and data lakes for unstructured data.

Unstructured Data 105

Unstructured Data Data Lake Prescriptive Analytics Digital Transformation 105

CIO Business Intelligence

APRIL 26, 2022

Backcountry also lacked many core services critical for an online retailer — no CMS, no analytics, no data platform, and no data lake. In recent years, e-commerce platforms have evolved into a combination of cloud, analytics, CX UIs, and data lakes dubbed customer data platforms (CDPs).

Data Lake 98

Data Lake Dashboards Recreation/Entertainment Sales 98

Alation

FEBRUARY 13, 2020

A lot of people in our audience are looking at implementing data lakes or are in the middle of big data lake initiatives. I know in February of 2017 Munich Re launched their own innovative platform as a cornerstone for analytics that involved a big data lake and a data catalog.

Data-driven 52

Data-driven Data Lake Enterprise Analytics 52

Ontotext

MAY 2, 2024

Storage-centric approach In the storage-centric approach, people try to address data silos by throwing everything in a data lake or a data warehouse. But, although, this helps somewhat in terms of architecture, soon these data lakes become unwieldy.

Metadata 52

Metadata Data Lake Data-driven Enterprise 52

Timo Elliott

DECEMBER 14, 2022

Most innovation platforms make you rip the data out of your existing applications and move it to some another environment—a data warehouse, or data lake, or data lake house or data cloud—before you can do any innovation. Business Context.

Data Lake 105

Data Lake Recreation/Entertainment Metadata Data Warehouse 105

CIO Business Intelligence

NOVEMBER 29, 2022

Supply chain management (SCM) is the fastest growing market in the enterprise application software segment and is estimated to generate sales of $20.24 billion in 2022, according to market research firm Gartner.

Management 72

Management Data Lake Machine Learning Visualization 72

IBM Big Data Hub

JANUARY 19, 2024

Organizations can better personalize at scale using data. Organizations can personalize their marketing by targeting customers where they prefer to be reached with unique messaging relevant to them. Then CX and customer service professionals can use customer relationship management (CRM) tools to take actions on this data.

Data-driven 91

Data-driven Consulting Interactive Data Lake 91

Juice Analytics

MAY 11, 2020

Among all the hot analytics initiatives to choose from (big data, IoT, NLP, data storytelling, cognitive BI, GDPR), plain old reporting is what is considered the most important strategic initiative. But it does seem to eluding the attention of analytics vendors who want to build lakes, predict outcomes, learn deeply, and tell stories.

Reporting 115

Reporting Analytics IT Data Lake 115

CIO Business Intelligence

OCTOBER 4, 2023

“Our technology workforce operates on a global scale and in all regions, so we learn different lessons from each one, which we apply in the rest of the markets where we operate,” says Shivananda. At the lowest layer is the infrastructure, made up of databases and data lakes.

Digital Transformation 128

Digital Transformation Deep Learning Data Lake Risk 128