AWS Big Data

FEBRUARY 29, 2024

Data is your generative AI differentiator, and a successful generative AI implementation depends on a robust data strategy incorporating a comprehensive data governance approach. Data governance is a critical building block across all these approaches, and we see two emerging areas of focus.

Data Governance 95

Data Governance Unstructured Data Metadata Data Lake 95

Smart Data Collective

AUGUST 7, 2019

One study found that 77% of small businesses don’t even have a big data strategy. If your company lacks a big data strategy, then you need to start developing one today. The best thing that you can do is find some data analytics tools to solve your most pressing challenges. Customer relations management.

Data Analytics 99

Data Analytics Analytics Big Data Data Lake 99

IBM Big Data Hub

JUNE 8, 2022

Implementing the right data strategy spurs innovation and outstanding business outcomes by recognizing data as a critical asset that provides insights for better and more informed decision-making. Whether data protection regulations like GDPR, CCPA, HIPAA, etc. Proper levels of data protection and data security.

Data-driven 56

Data-driven Enterprise Data Governance Data Lake 56

CDW Research Hub

JULY 18, 2022

While many organizations understand the business need for a data and analytics cloud platform , few can quickly modernize their legacy data warehouse due to a lack of skills, resources, and data literacy. Security Data Lake. Learn more about our Security Data Lake Solution.

Optimization 87

Optimization Data Lake Data Warehouse Manufacturing 87

IBM Big Data Hub

APRIL 25, 2023

We also made the case that query and reporting, provided by big data engines such as Presto, need to work with the Spark infrastructure framework to support advanced analytics and complex enterprise data decision-making. Intelligent data caching is improving the performance of data lakehouse infrastructures.

Optimization 56

Optimization Strategy Data Warehouse Cost-Benefit 56

AWS Big Data

JANUARY 12, 2024

We have defined all layers and components of our design in line with the AWS Well-Architected Framework Data Analytics Lens. Ingestion: Data lake batch, micro-batch, and streaming Many organizations land their source data into their data lake in various ways, including batch, micro-batch, and streaming jobs.

Data Lake 94

Data Lake Cost-Benefit Visualization Structured Data 94

CIO Business Intelligence

APRIL 26, 2024

Count TransUnion among the rising tide of enterprises evolving their identities thanks to IT. “We 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. But following its $3.1

Modeling 95

Modeling IT Machine Learning Data Governance 95

AWS Big Data

MAY 30, 2024

Amazon Redshift is a fast, scalable, and fully managed cloud data warehouse that allows you to process and run your complex SQL analytics workloads on structured and semi-structured data. It served many enterprise use cases across API feeds, content mastering, and analytics interfaces.

Data Warehouse 85

Data Warehouse Data Lake Cost-Benefit Structured Data 85

CIO Business Intelligence

DECEMBER 1, 2022

Kanioura, who was hired away from Accenture two years ago to serve as the food and beverage multinational’s first chief strategy and transformation officer, says earning employee trust was one of her greatest challenges in those early months. But there is more room to go.

Digital Transformation 130

Digital Transformation IoT Data-driven KPI 130

Ontotext

FEBRUARY 12, 2024

Once accomplished, an effective implementation spurs a mindset in which organizations prioritize and value data for decision-making, formulating strategies, and day-to-day operations. How does data mesh help organizations and lines of business? However, data mesh is not about introducing new technologies.

Data-driven 59

Data-driven Data Lake Data Quality Business Objectives 59

AWS Big Data

JANUARY 24, 2023

AWS Lake Formation helps with enterprise data governance and is important for a data mesh architecture. It works with the AWS Glue Data Catalog to enforce data access and governance. This solution only replicates metadata in the Data Catalog, not the actual underlying data.

Data Architecture 67

Data Architecture Metadata Data Lake Snapshot 67

AWS Big Data

NOVEMBER 8, 2023

Putting your data to work with generative AI – Innovation Talk Thursday, November 30 | 12:30 – 1:30 PM PST | The Venetian Join Mai-Lan Tomsen Bukovec, Vice President, Technology at AWS to learn how you can turn your data lake into a business advantage with generative AI. Reserve your seat now! Reserve your seat now!

Data-driven 89

Data-driven Data Lake Machine Learning Cost-Benefit 89

DataKitchen

JANUARY 3, 2022

A DataOps process hub offers a way for business analytics teams to cope with fast-paced requirements without expanding staff or sacrificing quality. Analytics Hub and Spoke. The data analytics function in large enterprises is generally distributed across departments and roles. DataOps Process Hub.

Business Analytics 245

Business Analytics Analytics Testing Dashboards 245

Cloudera

APRIL 22, 2021

Today’s enterprise data analytics teams are constantly looking to get the best out of their platforms. Storage plays one of the most important roles in the data platforms strategy, it provides the basis for all compute engines and applications to be built on top of it.

Data Lake 102

Data Lake Cost-Benefit Testing Metadata 102

Cloudera

NOVEMBER 18, 2020

In fact, each of the 29 finalists represented organizations running cutting-edge use cases that showcase a winning enterprise data cloud strategy. The technological linchpin of its digital transformation has been its Enterprise Data Architecture & Governance platform. Data Champions . Winner: OVO.

Internet Publishing and Broadcasting 124

Internet Publishing and Broadcasting Data-driven Broadcasting Digital Transformation 124

AWS Big Data

APRIL 26, 2023

This multinational production strategy follows an even more international and extensive supplier network. In 2019, the BMW Group decided to re-architect and move its on-premises data lake to the AWS Cloud to enable data-driven innovation while scaling with the dynamic needs of the organization.

Forecasting 122

Forecasting Manufacturing Data Lake Big Data 122

Corinium

JUNE 6, 2019

Lack of clear, unified, and scaled data engineering expertise to enable the power of AI at enterprise scale. For instance, for a variety of reasons, in the short term, CDAOS are challenged with quantifying the benefits of analytics’ investments. What differentiates Fractal Analytics?

Insurance 250

Insurance Analytics Forecasting Deep Learning 250

AWS Big Data

AUGUST 2, 2023

In this blog, we will walk through how we can apply existing enterprise data to better understand and estimate Scope 1 carbon footprint using Amazon Simple Storage Service (S3) and Amazon Athena , a serverless interactive analytics service that makes it easy to analyze data using standard SQL.

Data Lake 72

Data Lake Measurement Visualization Data Architecture 72

AWS Big Data

MAY 28, 2024

For example, financial analysts currently have to manually read and summarize lengthy regulatory filings and earnings transcripts in order to respond to Q&A on investment strategies. Redshift Serverless is a fully functional data warehouse holding data tables maintained in real time.

Unstructured Data 88

Unstructured Data Structured Data Data Warehouse Testing 88

IBM Big Data Hub

MAY 19, 2023

According to the research, organizations are adopting cloud ERP models to identify the best alignment with their strategy, business development, workloads and security requirements. As a small- to medium-sized enterprise (SME), TDC Digital needed a transparent billing system to predict its expenses and price its services effectively.

Unstructured Data 74

Unstructured Data Data Processing Manufacturing Data Lake 74

Cloudera

JUNE 16, 2022

Every large enterprise organization is attempting to accelerate their digital transformation strategies to engage with their customers in a more personalized, relevant, and dynamic way. The ability to perform analytics on data as it is created and collected (a.k.a. What is Kafka blindness? Who is affected?

Data Lake 90

Data Lake Manufacturing Metadata Dashboards 90

AWS Big Data

FEBRUARY 21, 2023

Because data is closer to the source and stored in raw format, it has to be transformed before it can be used for reporting and other application purposes. This is one of the biggest hurdles with the data vault approach. What is a dimensional data model? It optimizes the database for faster data retrieval.

Data Warehouse 65

Data Warehouse Data Lake Cost-Benefit Metadata 65

Andrew White

JANUARY 11, 2021

What is your vision for D&A for small and medium enterprises? Do you recommend a consulting approach strategy rather than a CDO strategy? We have specific research for midsize and small enterprises. See 3 Questions That Midsize Enterprises Should Ask About Data and Analytics and have an inquiry with Alan Duncan.

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52

FineReport

MARCH 24, 2024

Rapid technological advancements and extensive networking have propelled the evolution of data analytics, fundamentally reshaping decision-making practices across various sectors. In this landscape, data analysts assume a pivotal role, tasked with interpreting data to drive informed decision-making.

Statistics 52

Statistics Data mining Visualization Reporting 52

BizAcuity

MAY 16, 2022

When data is stored in silos and the back-end systems are not able to process the massive amounts of data seamlessly, critical information may be lost. We get critical business insights based on how well we leverage our business data. The more effectively a company uses data, the better it performs. Data mining.

Business Intelligence 52

Business Intelligence Data mining Visualization Data Lake 52

CIO Business Intelligence

APRIL 6, 2022

Enterprises are increasingly moving towards bringing together a human-centric experience with innovations led by cutting-edge technologies. While enterprises invest in innovation, key challenges such as successful sustenance, ROI realization, scaling and accelerating still remain. . Accelerate Innovation.

Experimentation 83

Experimentation Data Lake Uncertainty Enterprise 83

Andrew White

OCTOBER 22, 2021

Monetization/Link data to outcome (value pyramid) business value of data/business impact 20. D&A Strategy/infusing business with (overall) 16. Business Information Model/Arch compared to classic enterprise data model and how to relate it to catalogs and marketplaces and enterprise data models 13.

IT 52

IT Data Lake Strategy Data Science 52

CIO Business Intelligence

SEPTEMBER 6, 2022

When Steve Pimblett joined The Very Group in October 2020 as chief data officer, reporting to the conglomerate’s CIO, his task was to help the enterprise uncover value in its rich data heritage. As a result, Pimblett now runs the organization’s data warehouse, analytics, and business intelligence.

IT 85

IT Forecasting Data Lake Enterprise 85

AWS Big Data

APRIL 11, 2023

By collecting data from store sensors using AWS IoT Core , ingesting it using AWS Lambda to Amazon Aurora Serverless , and transforming it using AWS Glue from a database to an Amazon Simple Storage Service (Amazon S3) data lake, retailers can gain deep insights into their inventory and customer behavior.

Forecasting 76

Forecasting Management IoT Data-driven 76

datapine

APRIL 15, 2020

When it comes to implementing and managing a successful BI strategy we have always proclaimed: start small, use the right BI tools , and involve your team. When encouraging these BI best practices what we are really doing is advocating for agile business intelligence and analytics. Top 10 Tips For Agile BI & Analytics Development.

Business Intelligence 276

Business Intelligence Analytics Testing Dashboards 276

Alation

FEBRUARY 13, 2020

Whether we’re speaking to data analysts or CDOs, data people almost instantly understand the value of the Alation Data Catalog. Faces light up when we describe how Alation helps enterprises find, understand, trust, use and reuse data. At some level, every enterprise is struggling to connect data to decision-making.

ROI 52

ROI Cost-Benefit Unstructured Data Data Lake 52

Cloudera

AUGUST 4, 2021

Not only is it critical to protect data, but data governance is also the foundation for data-driven businesses and maximizing value from data analytics. As a result, it’s easier to find people to handle highly routine-oriented data governance positions. Security: It must serve data throughout a system.

Data Governance 89

Data Governance Metadata Data-driven Enterprise 89

Cloudera

MAY 12, 2021

Use cases could include but are not limited to: predictive maintenance, log data pipeline optimization, connected vehicles, industrial IoT, fraud detection, patient monitoring, network monitoring, and more. DATA FOR ENTERPRISE AI. DATA FOR GOOD. A popular category last year, and no doubt this year too.

Digital Transformation 70

Digital Transformation Machine Learning Optimization Data Lake 70

AWS Big Data

MARCH 3, 2023

Tricentis is the global leader in continuous testing for DevOps, cloud, and enterprise applications. From detailed design to a beta release, Tricentis had customers expecting to consume data from a data lake specific to only their data, and all of the data that had been generated for over a decade.

Software 52

Software Data Lake Testing Cost-Benefit 52

AWS Big Data

MAY 16, 2023

Solution overview The AWS Data Lab offers accelerated, joint engineering engagements between customers and AWS technical resources to create tangible deliverables that accelerate data, analytics, artificial intelligence (AI), machine learning (ML), serverless, and container modernization initiatives.

Data Lake 69

Data Lake Cost-Benefit Optimization Testing 69

Corinium

APRIL 25, 2019

Ahead of the Chief Data Analytics Officers & Influencers, Insurance event we caught up with Dominic Sartorio, Senior Vice President for Products & Development, Protegrity to discuss how the industry is evolving. Why should Chief Data & Analytics Officers care about data security? That’s the reward.

Insurance 150

Insurance Risk IoT Cost-Benefit 150

Hurwitz & Associates

JUNE 28, 2018

Chief Data Officers (CDOs) have a weighty responsibility: they are “on point” to find the actionable insights and data trends from analysis of data lakes, data repositories and virtual “seas” of data flowing across their large organizations. The Role of Best Practices.

Insurance 40

Insurance Data Lake Machine Learning Enterprise 40