CIO Business Intelligence

APRIL 24, 2025

Data can be effectively monetized by transforming it into a product or service the market values, says Kathy Rudy, chief data and analytics officer with technology research and advisory firm ISG. User behavior data is one of the most monetizable data types, says Agility Writers Yong, pointing to Google Analytics as an example.

Data-driven 134

Data-driven Marketing Risk Sales 134

CIO Business Intelligence

OCTOBER 30, 2024

Whether it’s a financial services firm looking to build a personalized virtual assistant or an insurance company in need of ML models capable of identifying potential fraud, artificial intelligence (AI) is primed to transform nearly every industry.

Enterprise 139

Enterprise Data Architecture Unstructured Data Insurance 139

Analytics Vidhya

JUNE 10, 2022

From self-driving cars to automated customer service agents, AI is slowly but surely changing how we live and work. The post A brief Introduction to AI Ethics appeared first on Analytics Vidhya. Introduction in AI Ethics Artificial intelligence is becoming more and more prevalent in our increasingly interconnected world.

Data Science 291

Data Science Publishing Analytics 291

AWS Big Data

DECEMBER 12, 2024

Satori enables both just-in-time and self-service access to data. Self-service access to data is fully automated. From the users personalized data portal, they can see the available datasetsthe only datasets they have self-service access to are already included in their My Data folder.

Data Warehouse 98

Data Warehouse Cost-Benefit Data Lake Data Architecture 98

CIO Business Intelligence

APRIL 24, 2025

On the other hand, self-developed, customized AI agents can be precisely adapted to the specific business context and thus offer the potential for real differentiation in the market. Service layer: Includes the services required for model operation as well as data access services.

Enterprise 125

Enterprise Sales Cost-Benefit B2B 125

AWS Big Data

OCTOBER 23, 2024

Amazon Managed Workflows for Apache Airflow (Amazon MWAA) is a fully managed service that builds upon Apache Airflow, offering its benefits while eliminating the need for you to set up, operate, and maintain the underlying infrastructure, reducing operational overhead while increasing security and resilience. Creating a test variable.

Interactive 115

Interactive Testing Data-driven Data Lake 115

CIO Business Intelligence

DECEMBER 11, 2024

The proposed model illustrates the data management practice through five functional pillars: Data platform; data engineering; analytics and reporting; data science and AI; and data governance. While its acceptable to start with manually set thresholds, the ultimate goal should be to automate them with self-learning mechanisms.

Management 111

Management Data Governance Data Science Reporting 111

DataKitchen

NOVEMBER 29, 2021

As a result, enterprises will examine their end-to-end data operations and analytics creation workflows. In other words, they will use DataOps principles to build a platform that creates a robust, transparent, efficient, repeatable analytics process hub that unifies all workflows. The Great Resignation Hits Data & Analytics.

Testing 245

Testing Data Lake Data Architecture Manufacturing 245

David Menninger's Analyst Perspectives

JUNE 24, 2021

Teradata introduced some enhancements to its Vantage platform last year in which they expanded its analytics functions and language support, and strengthened tools to improve collaboration between data scientists, business analysts, data engineers and business personnel.

Enterprise 253

Enterprise Analytics IT Machine Learning 253

DataKitchen

APRIL 13, 2021

Process Analytics. DataOps needs a directed graph-based workflow that contains all the data access, integration, model and visualization steps in the data analytic production process. Composable Analytics — A DataOps Enterprise Platform with built-in services for data orchestration, automation, and analytics.

Testing 304

Testing Machine Learning Consulting Data Science 304

DataKitchen

AUGUST 19, 2021

Each distinct phase of the drug lifecycle requires a unique focus for analytics. The analytics team is under tremendous pressure during the early phases of the drug’s lifetime. The business users propose questions and ideas for new analytics and require rapid response time. Pharma Data Requirements. Pharma Data Mesh Domains.

Data Warehouse 246

Data Warehouse Data Lake Manufacturing Testing 246

CIO Business Intelligence

DECEMBER 5, 2024

In today’s data-driven world, large enterprises are aware of the immense opportunities that data and analytics present. Today, data distilleries revolutionize this process by providing a centralized platform that streamlines data aggregation, facilitates access to genAI modules, and supports self-service data consumption in the cloud.

Enterprise 105

Enterprise Insurance Unstructured Data Business Intelligence 105

Rocket-Powered Data Science

MARCH 20, 2023

Here are just 10 of the many key features of Datasphere that were covered during the launch day announcements : Datasphere works with the SAP Analytics Cloud and runs on the existing SAP BTP (Business Technology Platform), with all the essential features: security, access control, high availability. Datasphere is not just for data managers.

Data Warehouse 325

Data Warehouse Metadata Digital Transformation Machine Learning 325

O'Reilly on Data

FEBRUARY 11, 2020

Drilling down deeper, almost two-fifths of the survey audience works in tech-laden verticals such as software, consulting/professional services, telcos, and computers/hardware (Figure 2). First-generation self-service analytic tools made it easier—and, in some cases, possible —for people to share and experiment with data.

Data Quality 363

Data Quality Metadata Data Governance Publishing 363

AWS Big Data

DECEMBER 4, 2024

By treating data as a product, the bank is positioned to not only overcome current challenges, but to unlock new opportunities for growth, customer service, and competitive advantage. A self-serve data platform empowers domains to create, discover, and consume data products independently.

Metadata 105

Metadata Data Governance Data Quality Data-driven 105

datapine

NOVEMBER 27, 2019

The rise of self-service analytics democratized the data product chain. Suddenly advanced analytics wasn’t just for the analysts. Businesses of all sizes are no longer asking if they need increased access to business intelligence analytics but what is the best BI solution for their specific business.

Business Intelligence 361

Business Intelligence Analytics Prescriptive Analytics Data Quality 361

David Menninger's Analyst Perspectives

APRIL 8, 2021

Over the years, the adoption of cloud computing has gained momentum with more and more organizations trying to make use of applications, data, analytics and self-service business intelligence (BI) tools running on top of cloud-computing infrastructure in order to improve efficiency.

Management 251

Management Digital Transformation Business Intelligence Internet of Things 251

AWS Big Data

JANUARY 15, 2025

Internally, making data accessible and fostering cross-departmental processing through advanced analytics and data science enhances information use and decision-making, leading to better resource allocation, reduced bottlenecks, and improved operational performance. Eliminate centralized bottlenecks and complex data pipelines.

IoT 111

IoT Machine Learning Metadata Data-driven 111

Corinium

JUNE 6, 2019

Will you please describe your role at Fractal Analytics? Are you seeing currently any specific issues in the Insurance industry that should concern Chief Data & Analytics Officers? Are you seeing currently any specific issues in the Insurance industry that should concern Chief Data & Analytics Officers?

Insurance 250

Insurance Analytics Forecasting Deep Learning 250

DataKitchen

AUGUST 13, 2021

Figure 2 illustrates a self-service DataOps Platform for scientists engaged in pharmaceutical R&D. In the example shown, one group has an on-premise toolchain, and the others use Google Cloud Platform (GCP), Azure, and Amazon Web Services (AWS). How do they share analytics and coordinate work?

Testing 246

Testing Dashboards Marketing Measurement 246

David Menninger's Analyst Perspectives

JANUARY 21, 2025

MongoDB was founded in 2007 and has established itself as one of the most prominent NoSQL database providers with its document-oriented database and associated cloud services. The MongoDB Atlas managed service is available on Amazon Web Services, Google Cloud and Microsoft Azure.

Data Lake 130

Data Lake IoT Cost-Benefit Enterprise 130

CIO Business Intelligence

JANUARY 13, 2025

Allow me, then, to make five predictions on how emerging technology, including AI, and data and analytics advancements will help businesses meet their top challenges in 2025 particularly how their technology investments will drive future growth. Prediction #5: There will be a new wave of Data and Analytics DIY.

Technology 133

Technology Interactive Cost-Benefit Testing 133

DataKitchen

SEPTEMBER 17, 2021

DataOps focuses on automating data analytics workflows to enable rapid innovation with low error rates. DataOps produces clear measurement and monitoring of the end-to-end analytics pipelines starting with data sources. For example, DataOps provides a way to instantiate self-service development environments.

Testing 237

Testing Data Architecture Measurement Visualization 237

datapine

DECEMBER 4, 2019

Predictive & Prescriptive Analytics. Predictive Analytics: What could happen? We mentioned predictive analytics in our business intelligence trends article and we will stress it here as well since we find it extremely important for 2020. The commercial use of predictive analytics is a relatively new thing.

Business Intelligence 212

Business Intelligence Prescriptive Analytics Analytics Predictive Analytics 212

DataKitchen

SEPTEMBER 20, 2021

The pipelines and workflows that ingest data, process it and output charts, dashboards, or other analytics resemble a production pipeline. According to a recent Gartner survey, data teams spend only 22% of their time on “data innovation, data monetization and enhanced analytics insights.” Figure 1: The four phases of Lean DataOps.

Testing 246

Testing Metrics Measurement Dashboards 246

Cloudera

NOVEMBER 13, 2024

Cloudera, together with Octopai, will make it easier for organizations to better understand, access, and leverage all their data in their entire data estate – including data outside of Cloudera – to power the most robust data, analytics and AI applications.

Metadata 90

Metadata Management Data Governance Data-driven 90

AWS Big Data

DECEMBER 23, 2024

Amazon Managed Streaming for Apache Kafka (Amazon MSK) is a fully managed service that allows you to build and run production Kafka applications. MSK Replicator is a fully managed replication service that enables continuous, automated data replication between MSK clusters within the same Region or across different Regions.

Data-driven 98

Data-driven Management Risk Big Data 98

DataKitchen

AUGUST 5, 2021

With a steady stream of requests for new data sources and new analytics, the centralized team managing the platform can quickly exceed their capacity to keep up. A streaming service has to handle a variety of activities that logically partition into different areas: Artists – onboard, pay, manage, …. Challenges Related to Data Mesh.

Enterprise 246

Enterprise Management Data Processing Analytics 246

AWS Big Data

NOVEMBER 22, 2024

It is appealing to migrate from self-managed OpenSearch and Elasticsearch clusters in legacy versions to Amazon OpenSearch Service to enjoy the ease of use, native integration with AWS services, and rich features from the open-source environment ( OpenSearch is now part of Linux Foundation ). billion documents) was stored.

Snapshot 98

Snapshot Metadata Recreation/Entertainment Data Processing 98

datapine

DECEMBER 11, 2019

“Software as a service” (SaaS) is becoming an increasingly viable choice for organizations looking for the accessibility and versatility of software solutions and online data analysis tools without the need to rely on installing and running applications on their own computer systems and data centers. Dispelling 3 Common SaaS Myths.

Software 314

Software Cost-Benefit Data-driven Data Processing 314