CIO Business Intelligence

JANUARY 24, 2024

Building a successful data strategy at scale goes beyond collecting and analyzing data,” says Ryan Swann, chief data analytics officer at financial services firm Vanguard. Many industries and regions have strict regulations governing data privacy and security,” Miller says.

Data Strategy 134

Data Strategy Strategy Unstructured Data Data Governance 134

FineReport

APRIL 9, 2024

Healthcare data governance plays a pivotal role in ensuring the secure handling of patient data while complying with stringent regulations. The implementation of robust healthcare data management strategies is imperative to mitigate the risks associated with data breaches and non-compliance.

Digital Transformation 52

Digital Transformation Business Intelligence Data-driven Visualization 52

IBM Big Data Hub

OCTOBER 30, 2023

IBM, a pioneer in data analytics and AI, offers watsonx.data, among other technologies, that makes possible to seamlessly access and ingest massive sets of structured and unstructured data. AWS’s secure and scalable environment ensures data integrity while providing the computational power needed for advanced analytics.

Insurance 85

Insurance Data Warehouse Data-driven Unstructured Data 85

CIO Business Intelligence

APRIL 28, 2022

Right from the start, auxmoney leveraged cloud-enabled analytics for its unique risk models and digital processes to further its mission. Particularly in Asia Pacific , revenues for big data and analytics solutions providers hit US$22.6bn in 2020 , with financial services companies ranking among their biggest clients.

Analytics 82

Analytics Insurance Big Data Uncertainty 82

O'Reilly on Data

FEBRUARY 11, 2019

Many companies are just beginning to address the interplay between their suite of AI, big data, and cloud technologies. I’ll also highlight some interesting uses cases and applications of data, analytics, and machine learning. Data Platforms. Data Integration and Data Pipelines. Security and Privacy.

Big Data 209

Big Data Technology Machine Learning Deep Learning 209

erwin

JANUARY 30, 2020

The results of our new research show that organizations are still trying to master data governance, including adjusting their strategies to address changing priorities and overcoming challenges related to data discovery, preparation, quality and traceability. And close to 50 percent have deployed data catalogs and business glossaries.

Data Governance 145

Data Governance Metadata Cost-Benefit Digital Transformation 145

CIO Business Intelligence

SEPTEMBER 2, 2022

The US financial services industry has fully embraced a move to the cloud, driving a demand for tech skills such as AWS and automation, as well as Python for data analytics, Java for developing consumer-facing apps, and SQL for database work.

Finance 98

Finance IT Software Reporting 98

CIO Business Intelligence

AUGUST 31, 2022

The US financial services industry has fully embraced a move to the cloud, driving a demand for tech skills such as AWS and automation, as well as Python for data analytics, Java for developing consumer-facing apps, and SQL for database work.

Finance 98

Finance IT Software Reporting 98

IBM Big Data Hub

JANUARY 15, 2024

Also, machine learning will be an incredibly powerful tool for data-driven organizations looking to take better advantage of their data analytics practices. Whether they use the public cloud, private cloud or multicloud environment, they are removing the onerous step of maintaining their own data centers.

Digital Transformation 77

Digital Transformation Internet of Things IoT Consulting 77

Alation

JUNE 23, 2023

That’s going to be the view at the highly anticipated gathering of the global data, analytics, and AI community — Databricks Data + AI Summit — when it makes its grand return to San Francisco from June 26–29. How does a lakehouse overlooking the Golden Gate Bridge sound?

Data-driven 52

Data-driven Data Processing Data Quality Enterprise 52

CIO Business Intelligence

MAY 18, 2022

While resiliency has always been a focus of EA, “the focus now is on proactive resiliency” to better anticipate future risks, says Barnett. Small sees a trend toward redeploying staff that formerly worked in standalone teams on technologies such as cloud or data analytics into “project-based pods to address urgent needs.

Enterprise 104

Enterprise Measurement Data-driven Software 104

DataKitchen

OCTOBER 2, 2023

With this information, data teams can know if everything ran on time and without errors and immediately identify the parts that didn’t. Journeys provide a context for understanding and observing complex elements across and down a data analytic system.

Data Quality 100

Data Quality Testing Uncertainty Data Enablement 100

Smart Data Collective

FEBRUARY 14, 2023

We have discussed the compelling role that data analytics plays in various industries. In December, we shared five key ways that data analytics can help businesses grow. The gaming industry is among those most affected by breakthroughs in data analytics. Data integrity control.

Big Data 118

Big Data Data Analytics Analytics Testing 118

AWS Big Data

MARCH 27, 2024

Achieving this will also improve general public health through better and more timely interventions, identify health risks through predictive analytics, and accelerate the research and development process.

Data Analytics 90

Data Analytics Analytics Data Warehouse Data Lake 90

Smart Data Collective

SEPTEMBER 26, 2019

Below, we have laid down 5 different ways that software development can leverage Big Data. With the data analytics software, development teams are able to organize, harness and use data to streamline their entire development process and even discover new opportunities. Data Integration. Improving Efficiency.

Big Data 80

Big Data Software Unstructured Data Data Integration 80

AWS Big Data

FEBRUARY 29, 2024

However, enterprise data generated from siloed sources combined with the lack of a data integration strategy creates challenges for provisioning the data for generative AI applications. To learn more about data governance on AWS, see What is Data Governance? He can be reached via LinkedIn.

Data Governance 95

Data Governance Unstructured Data Metadata Data Lake 95

IBM Big Data Hub

DECEMBER 16, 2022

In other words, a data catalog makes the use of data for insights generation far more efficient across the organization, while helping mitigate risks of regulatory violations. The solution also helps with data quality management by assigning data quality scores to assets and simplifies curation with AI-driven data quality rules.

Metadata 52

Metadata Data Quality Data-driven Data Governance 52

AWS Big Data

JULY 25, 2023

Today, in order to accelerate and scale data analytics, companies are looking for an approach to minimize infrastructure management and predict computing needs for different types of workloads, including spikes and ad hoc analytics. Partner Solutions Architect in Data and Analytics at AWS.

Data Analytics 52

Data Analytics Data Warehouse Analytics Data Processing 52

DataKitchen

JULY 27, 2023

Let’s go through the ten Azure data pipeline tools Azure Data Factory : This cloud-based data integration service allows you to create data-driven workflows for orchestrating and automating data movement and transformation. You can use it for big data analytics and machine learning workloads.

Machine Learning 130

Machine Learning Cost-Benefit Data Transformation Testing 130

Ontotext

FEBRUARY 26, 2024

The answers to these foundational questions help you uncover opportunities and detect risks. We bundle these events under the collective term “Risk and Opportunity Events” This post is part of Ontotext’s AI-in-Action initiative aimed to empower data, scientists, architects and engineers to leverage LLMs and other AI models.

Data-driven 59

Data-driven Risk Modeling Risk Management 59

AWS Big Data

NOVEMBER 30, 2023

In this post, we explore how to use the AWS Glue native connector for Teradata Vantage to streamline data integrations and unlock the full potential of your data. Businesses often rely on Amazon Simple Storage Service (Amazon S3) for storing large amounts of data from various data sources in a cost-effective and secure manner.

IT 95

IT Visualization Machine Learning Data Integration 95

IBM Big Data Hub

NOVEMBER 14, 2023

A value exchange system built on data products can drive business growth for your organization and gain competitive advantage. This growth could be internal cost effectiveness, stronger risk compliance, increasing the economic value of a partner ecosystem, or through new revenue streams.

Strategy 113

Strategy Cost-Benefit Data-driven Measurement 113

IBM Big Data Hub

JANUARY 17, 2023

Due to the convergence of events in the data analytics and AI landscape, many organizations are at an inflection point. This capability will provide data users with visibility into origin, transformations, and destination of data as it is used to build products. Data integration. Start a trial.

Data-driven 57

Data-driven Enterprise Data Governance Prescriptive Analytics 57

Cloudera

AUGUST 21, 2021

Data enables better informed critical decisions, such as what new markets to expand in and how to do so. It provides direction for a robust business strategy that has taken into account risks and ways to manage them. Since leveraging Cloudera’s data platform, Rabobank has been able to improve its customers’ financial management.

Data-driven 99

Data-driven Digital Transformation Risk Risk Management 99

CIO Business Intelligence

DECEMBER 20, 2022

The benefits of hybrid multicloud in healthcare When it comes to cloud adoption, the healthcare industry has been slow to relinquish the traditional on-premises data center due to strict regulatory and security requirements and concerns around interoperability and data integration.

Cost-Benefit 125

Cost-Benefit Optimization Software Machine Learning 125

AWS Big Data

OCTOBER 11, 2023

The data in the machine-readable files can provide valuable insights to understand the true cost of healthcare services and compare prices and quality across hospitals. The availability of machine-readable files opens up new possibilities for data analytics, allowing organizations to analyze large amounts of pricing data.

Visualization 96

Visualization Dashboards Data-driven Gap analysis 96

DataKitchen

NOVEMBER 18, 2021

The important thing to realize is that these problems are not the fault of the people working in the data organization. The data analytics lifecycle is a factory, and like other factories, it can be optimized with techniques borrowed from methods like lean manufacturing. Everyone in the industry faces these problems.

Testing 246

Testing Data Governance Measurement Software 246

erwin

FEBRUARY 4, 2021

However, organizations still encounter a number of bottlenecks that may hold them back from fully realizing the value of their data in producing timely and relevant business insights. Automate code generation : Alleviate the need for developers to hand code connections from data sources to target schema.

Data Governance 89

Data Governance Metadata Data Quality Risk Management 89

IBM Big Data Hub

NOVEMBER 10, 2023

These capabilities are needed to establish patient attribution, identify individual patients with gaps in care, and update the patient care plan with the necessary actions to address the patient risks and care gaps.

Cost-Benefit 104

Cost-Benefit Insurance Consulting Unstructured Data 104

AWS Big Data

FEBRUARY 21, 2023

Loading complex multi-point datasets into a dimensional model, identifying issues, and validating data integrity of the aggregated and merged data points are the biggest challenges that clinical quality management systems face. It is a data modeling methodology designed for large-scale data warehouse platforms.

Data Warehouse 63

Data Warehouse Data Lake Cost-Benefit Modeling 63

IBM Big Data Hub

OCTOBER 12, 2023

Stored data is predicted to see a 250% growth by 2025, 1 the results of which are likely to include a greater number of disconnected silos and higher associated costs. To optimize data analytics and AI workloads, organizations need a data store built on an open data lakehouse architecture.

Cost-Benefit 83

Cost-Benefit Metadata Data Governance Modeling 83

IBM Big Data Hub

OCTOBER 20, 2023

These factors are also important in identifying the AI platform that can be most effectively integrated to align with your business objectives. Enhanced security Open source packages are frequently used by data scientists, application developers and data engineers, but they can pose a security risk to companies.

Machine Learning 78

Machine Learning Manufacturing Cost-Benefit Deep Learning 78

AWS Big Data

MARCH 26, 2024

Data ingestion You have to build ingestion pipelines based on factors like types of data sources (on-premises data stores, files, SaaS applications, third-party data), and flow of data (unbounded streams or batch data). Enrichment typically involves adding demographic, behavioral, and geolocation data.

Data Strategy 69

Data Strategy Strategy Data Warehouse Prescriptive Analytics 69

Andrew White

JANUARY 9, 2022

To drive a successful Data Analytics strategy do you think it is a multidisciplinary activity and if so, what additional roles would you expect to see involved. Have a look at this and see if this helps: Data, Analytics and AI Form the Foundation of Data-Driven Decision Making. . We write about data and analytics.

Analytics 64

Analytics Measurement Modeling Data-driven 64

AWS Big Data

JUNE 12, 2023

Organizations across the world are increasingly relying on streaming data, and there is a growing need for real-time data analytics, considering the growing velocity and volume of data being collected.

Management 76

Management Metadata Testing Internet of Things 76

Ontotext

FEBRUARY 26, 2024

Each additional graph use case increases its derived value thanks to reducing costs, adding new capabilities, and minimizing risk. Bad Data Tax and the Data Bill of Rights So far, our discussion has been pretty theoretical, so we need a compelling business justification for moving in this direction.

Technology 52

Technology Cost-Benefit Data-driven Metadata 52

AWS Big Data

JULY 20, 2023

Orca Security is an industry-leading Cloud Security Platform that identifies, prioritizes, and remediates security risks and compliance issues across your AWS Cloud estate. These robust capabilities ensure that data within the data lake remains accurate, consistent, and reliable.

Data Lake 85

Data Lake Analytics Snapshot Optimization 85