BizAcuity

APRIL 14, 2022

Its effective data analytics that allows personalization in marketing & sales, identifying new opportunities, making important decisions and being sustainable for the long term. Competitive Advantages to using Big Data Analytics. The majority of the data a business has stored is generally unstructured.

Big Data 52

Big Data Data Analytics Management Unstructured Data 52

Alation

MARCH 21, 2023

Why is data analytics important for travel organizations? With data analytics , travel organizations can gain real-time insights about customers to make strategic decisions and improve their travel experience. What are common data challenges for the travel industry? Travel can be stressful and emotionally fraught.

Data Analytics 52

Data Analytics Analytics Data-driven Big Data 52

AWS Big Data

OCTOBER 4, 2023

Collaboration – Analysts, data scientists, and data engineers often own different steps within the end-to-end analytics journey but do not have an simple way to collaborate on the same governed data, using the tools of their choice. This is more than mere data; it’s our dynamic journey.”

Metadata 98

Metadata Data Lake Publishing Data Governance 98

CIO Business Intelligence

MARCH 10, 2022

Next up: AI and data lake decisions. To that end, UAB’s next step is to tackle big decisions around expanding its AI and data analytics platforms, says Carver, who is not handling the long-term planning alone. This is aimed at helping users find reports and the associated data more quickly, she adds.

IT 88

IT Data Lake Digital Transformation Data Governance 88

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 65

Data Architecture Metadata Data Lake Snapshot 65

AWS Big Data

MARCH 26, 2024

Without C360, businesses face missed opportunities, inaccurate reports, and disjointed customer experiences, leading to customer churn. 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.

Data Strategy 67

Data Strategy Strategy Data Warehouse Prescriptive Analytics 67

AWS Big Data

JULY 13, 2023

Data quality for account and customer data – Altron wanted to enable data quality and data governance best practices. Goals – Lay the foundation for a data platform that can be used in the future by internal and external stakeholders. Athena exposes the content of the reporting zone for consumption.

Optimization 89

Optimization B2B Data Quality Sales 89

IBM Big Data Hub

OCTOBER 12, 2023

So, the greater the visibility and control an organization has over its AI models now, the better prepared it will be for whatever AI and data regulations are coming around the corner. Among the tasks necessary for internal and external compliance is the ability to report on the metadata of an AI model. And that makes sense.

Cost-Benefit 83

Cost-Benefit Metadata Data Governance Modeling 83

CIO Business Intelligence

MAY 24, 2022

Defining and using single data points for multiple purposes. Building a semantic layer describing unified business and reporting definitions. Unlocking the value of data with in-depth advanced analytics, focusing on providing drill-through business insights. Oil and Gas.

Data-driven 89

Data-driven Data Lake Data Warehouse Cost-Benefit 89

Cloudera

NOVEMBER 18, 2020

It hosts over 150 big data analytics sandboxes across the region with over 200 users utilizing the sandbox for data discovery. With this functionality, business units can now leverage big data analytics to develop better and faster insights to help achieve better revenues, higher productivity, and decrease risk. .

Internet Publishing and Broadcasting 118

Internet Publishing and Broadcasting Data-driven Broadcasting Digital Transformation 118

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. In data-driven organizations, data is flowing. You want data-focused policies that follow the data.

Insurance 150

Insurance Risk IoT Cost-Benefit 150

CIO Business Intelligence

NOVEMBER 28, 2023

With each game release and update, the amount of unstructured data being processed grows exponentially, Konoval says. This volume of data poses serious challenges in terms of storage and efficient processing,” he says. To address this problem RetroStyle Games invested in data lakes. Ensure value with visualizations.

Unstructured Data 128

Unstructured Data Data-driven Visualization Data Quality 128

CIO Business Intelligence

MARCH 22, 2022

This investigation will help you identify the organizational and infrastructure changes needed to open up data access across the company. . Consolidate data . Consolidation creates a single source of truth on which to base decisions, actions, and reports. Set up unified data governance rules and processes.

Analytics 105

Analytics Key Performance Indicator Data Warehouse Data-driven 105

IBM Big Data Hub

MARCH 14, 2024

Whether it’s for ad hoc analytics, data transformation, data sharing, data lake modernization or ML and gen AI, you have the flexibility to choose.  Netezza and Cognos now process over 5,200 reports daily, providing decision support for leadership across the business. With Netezza support for 1.2

Cost-Benefit 84

Cost-Benefit Metadata Optimization Management 84

Alation

JULY 7, 2022

In the 2010s, the growing scope of the data landscape gave rise to a new profession: the data scientist. This new role, combined with the creation of data lakes and the increasing use of cloud services, created new employment opportunities in data analytics, data architecture, and data management.

Metadata 52

Metadata Data-driven Insurance Statistics 52

Domino Data Lab

AUGUST 8, 2019

In this episode I’ll cover themes from Sci Foo and important takeaways that data science teams should be tracking. First and foremost: there’s substantial overlap between what the scientific community is working toward for scholarly infrastructure and some of the current needs of data governance in industry. We did it again.”.

Data Science 71

Data Science Machine Learning Data Governance Statistics 71

AWS Big Data

FEBRUARY 27, 2024

Each data producer within the organization has its own data lake in Apache Hudi format, ensuring data sovereignty and autonomy. These datasets are pivotal for reporting and analytics use cases, powered by services like Amazon Redshift and tools like Power BI.

Data-driven 93

Data-driven Data Lake Data Quality Data Governance 93

IBM Big Data Hub

AUGUST 4, 2023

Data democratization instead refers to the simplification of all processes related to data, from storage architecture to data management to data security. It also requires an organization-wide data governance approach, from adopting new types of employee training to creating new policies for data storage.

Data Architecture 64

Data Architecture Data Lake Machine Learning Data Governance 64

Andrew White

JANUARY 11, 2021

What is unique about the D&A Leadership Vision is that it crossed over into business since for many organizations, the CDO reports into the CEO or COO (as examples). The fill report is here: Leadership Vision for 2021: Data and Analytics. Governance. Risk Management (most likely within context of governance).

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52

AWS Big Data

DECEMBER 21, 2023

The data products used inside the company include insights from user journeys, operational reports, and marketing campaign results, among others. The data platform serves on average 60 thousand queries per day. The data volume is in double-digit TBs with steady growth as business and data sources evolve.

Data Lake 87

Data Lake Data Warehouse B2B Data-driven 87

AWS Big Data

JULY 14, 2023

In this post, we discuss how the Amazon Finance Automation team used AWS Lake Formation and the AWS Glue Data Catalog to build a data mesh architecture that simplified data governance at scale and provided seamless data access for analytics, AI, and machine learning (ML) use cases. Rajesh Rao is a Sr.

Finance 81

Finance Metadata Big Data Recreation/Entertainment 81

Alation

AUGUST 2, 2022

Customer centricity requires modernized data and IT infrastructures. Too often, companies manage data in spreadsheets or individual databases. This means that you’re likely missing valuable insights that could be gleaned from data lakes and data analytics. Customer Data Privacy And Security.

Strategy 52

Strategy Cost-Benefit Metrics Data Lake 52

Andrew White

MARCH 22, 2019

This ties into the failure of data governance and MDM (see first item in this list). A data hub strategy should be economical, not perfected; and a data hub does not collect data like a data warehouses or data lake does – they are very different things. Where the CDO reports.

Analytics 68

Analytics Metadata Data Governance Management 68