CIO Business Intelligence

OCTOBER 25, 2022

The data platform supports several critical initiatives in this industry: Support for new product development by using data to identify opportunities where current services aren’t available or are unattractive to customers. The use of a data platforms to drive new product offers and address customer needs is already beginning.

Insurance 119

Insurance Data Architecture Data-driven Interactive 119

AWS Big Data

APRIL 17, 2024

Now the AaaS provider has multiple methods to deliver insights to their customers: Option 1 – The enriched data with insights is shared directly with the customer’s Redshift instance using the Amazon Redshift data sharing feature. End-users consume data using business intelligence (BI) tools and analytics applications.

Data Warehouse 100

Data Warehouse Analytics Cost-Benefit Modeling 100

erwin

JANUARY 9, 2020

For decades, data modeling has been the optimal way to design and deploy new relational databases with high-quality data sources and support application development. Today’s data modeling is not your father’s data modeling software. And the good news is that it just keeps getting better.

Data Governance 144

Data Governance Modeling Metadata Unstructured Data 144

CIO Business Intelligence

JUNE 28, 2023

Finally, our goal is to diminish consumer risk evaluation periods by 80% without compromising the safety of our products.” The initial stage involved establishing the data architecture, which provided the ability to handle the data more effectively and systematically. This allowed us to derive insights more easily.”

Digital Transformation 104

Digital Transformation Cost-Benefit Informatics Data mining 104

CIO Business Intelligence

JUNE 9, 2023

Enhanced customer satisfaction: Businesses can personalize their offerings by using customer data to improve customer support and enhance the overall customer experience. Reduced risk: Effective data management can help businesses mitigate risks, such as data breaches, compliance violations, and reputational damage.

Strategy 116

Strategy Management Key Performance Indicator ROI 116

CIO Business Intelligence

APRIL 12, 2023

After walking his executive team through the data hops, flows, integrations, and processing across different ingestion software, databases, and analytical platforms, they were shocked by the complexity of their current data architecture and technology stack. It isn’t easy.

Machine Learning 145

Machine Learning Cost-Benefit Data-driven Strategy 145

CIO Business Intelligence

MARCH 9, 2022

When looking to move large portions of their application portfolios to a cloud-first model, organizations should ensure their developers embrace well-defined, cloud-native principles, says Brian Campbell, principal at Deloitte, including the use of APIs, microservices, and a modern data architecture.

Strategy 145

Strategy Consulting Risk Testing 145

CDW Research Hub

JULY 27, 2021

Companies feel locked into these systems as they are often tied to business-critical operations. Cloud-based solutions are promising, but some organizations are reluctant to migrate from legacy systems because it could result in costly downtime and many unknown data architecture and migration issues.

Data Warehouse 52

Data Warehouse Data Lake Data Architecture Consulting 52

IBM Big Data Hub

JUNE 8, 2023

Having a well-designed data architecture and fact-based data can help with understanding performance and measuring progress against broad-based operational and ESG goals. Insights generated from this data can help organizations further their ESG programs as well as drive operational efficiency.

Technology 77

Technology Measurement Cost-Benefit Data-driven 77

CIO Business Intelligence

MAY 20, 2022

Modernizing a utility’s data architecture. These capabilities allow us to reduce business risk as we move off of our monolithic, on-premise environments and provide cloud resiliency and scale,” the CIO says, noting National Grid also has a major data center consolidation under way as it moves more data to the cloud.

IT 106

IT Digital Transformation Internet of Things Data Architecture 106

CIO Business Intelligence

MAY 1, 2023

The complexity of an organization’s application landscape, along with the lack of perceived value in modernizing core applications to introduce new capabilities and enhance existing capabilities, introduces risk to both internal colleagues and external customers.

Consulting 54

Consulting Data Governance ROI Digital Transformation 54

Jen Stirrup

AUGUST 25, 2020

Power Apps does not necessarily look like a lot of ‘moving parts’ to the business users and a low-code/no-code user, who may not really understand that they are using APIs, data sources and a bunch of connectors. Once you introduce Power Apps into the picture, there is potential risk of multiplexing violation.

Advertising 67

Advertising Business Intelligence Data Processing Data Architecture 67

CIO Business Intelligence

NOVEMBER 15, 2022

Veeam is all set to shift its selling strategy to appeal to CIOs with performance guarantees that could penalize the data replication, backup and recovery company if it fails to meet agreed-on outcomes. They need to hedge their risks. CIOs more and more seek outcomes, not just services,” said Anand Eswaran, CEO at Veeam.

Marketing 52

Marketing Business Objectives Data Architecture Risk 52

CIO Business Intelligence

AUGUST 7, 2023

While the changes to the tech stack are minimal when simply accessing gen AI services, CIOs will need to be ready to manage substantial adjustments to the tech architecture and to upgrade data architecture. Shapers want to develop proprietary capabilities and have higher security or compliance needs.

Modeling 98

Modeling Sales Cost-Benefit Data Processing 98

CIO Business Intelligence

SEPTEMBER 21, 2023

The potentials for increasing productivity or for enabling types of business not possible before are huge. The phrase “existential risk” is now everywhere—not in the sense the AI would destroy humanity, but that it would make business functions, or even entire companies, obsolete. But it’s a sign of what’s to come. “If

Enterprise 130

Enterprise Consulting Modeling Cost-Benefit 130

AWS Big Data

APRIL 26, 2023

In addition, an inventory of all assets is one of the foundational elements of an organization that facilitates the security and compliance team to audit the assets for improving privacy, security posture and mitigate risk to ensure the business operations run smoothly.

Metadata 52

Metadata Dashboards Visualization Consulting 52

CIO Business Intelligence

JULY 6, 2022

Notably, Fujitsu’s PRIMEFLEX is an integrated system that includes pre-configured, pre-tested hybrid cloud-enabled systems – including those for VMware technologies – and all of the services needed to offer a fast path for the development of hybrid data architectures.

Digital Transformation 96

Digital Transformation Manufacturing Data Architecture Consulting 96

CIO Business Intelligence

JULY 19, 2023

Are we taking too many risks? People can be afraid that if they try something new, and it fails, they risk their reputation,” he says. “We Artificial Intelligence, CIO, Data Architecture, Digital Transformation, IoT Platforms, IT Leadership, IT Strategy, Software Deployment, Software Development

IoT 87

IoT Manufacturing Software Strategy 87

CIO Business Intelligence

APRIL 29, 2022

From a policy perspective, the organization needs to mature beyond a basic awareness and definition of data compliance requirements (which typically holds that local operations make data “sovereign” by default) to a more refined, data-first model that incorporates corporate risk management, regulatory and reporting issues, and compliance frameworks.

Digital Transformation 132

Digital Transformation Strategy Data-driven Data Strategy 132

CIO Business Intelligence

AUGUST 10, 2022

These obstacles include technical debt emerging from on-premise systems and muddled business processes, frustrating data silos, and ever more complex regulations. However, organisations that can’t meet these growing expectations for personalised experiences risk losing market share. Those who don’t modernise risk missing out.

Data-driven 52

Data-driven Data Processing Risk Data Architecture 52

Sisense

SEPTEMBER 3, 2020

ROI (return on investment) is also a key concern, as business analysts apply their data-related activities to finance, marketing, and risk management, for instance. Business analysts may work together with data scientists and data analysts in areas such as metric definition and database design.

Statistics 97

Statistics Metrics Visualization Finance 97

erwin

DECEMBER 12, 2019

Is it sensitive or are there any risks associated with it? The Role of Metadata in Data Governance. As data continues to proliferate, so does the need for data and analytics initiatives to make sense of it all. Where did it come from? Where is it now? How has it changed since it was originally created or captured?

Metadata 84

Metadata Data Governance Digital Transformation Data Quality 84

Cloudera

AUGUST 28, 2018

However, this year, it is evident that the pace of acceleration to modern data architectures has intensified. David Stodder , Senior Director, Research for Business Intelligence, TDWI. .” – Cornelia Levy-Bencheton. Every year, the caliber of submissions goes up many notches. Manjeet Rege , Ph.D.,

Digital Transformation 65

Digital Transformation Machine Learning Consulting IoT 65

erwin

DECEMBER 12, 2019

Is it sensitive or are there any risks associated with it? The Role of Metadata in Data Governance. As data continues to proliferate, so does the need for data and analytics initiatives to make sense of it all. Where did it come from? Where is it now? How has it changed since it was originally created or captured?

Metadata 52

Metadata Data Governance Digital Transformation Data Quality 52

CIO Business Intelligence

JULY 28, 2023

This approach allows enterprises to streamline processes, gather data for specific purposes, get better insights from data in a secure environment, and efficiently share it. 1 A clear picture of where data lives and how it moves enables enterprises to consistently protect this data and its privacy.

Risk 97

Risk Management Cost-Benefit Data mining 97

CIO Business Intelligence

APRIL 25, 2022

Because NPD is a data company and Person oversees data architecture, “I own the factory,” he says. “So We very quickly learned that a lot of the disruption and innovation was going to be done at the intersection of business and IT,” Palmer says.

IT 116

IT Insurance Cost-Benefit Reporting 116

TDAN

AUGUST 1, 2023

Rural areas worldwide are disconnected in a landscape that nearly requires the internet to work or socially interact. But eventually, the entire planet will have equal, high-speed internet access. Neglecting the digital divide and broadband gap will cause cybersecurity concerns for communities entering the digital era.

Interactive 52

Interactive Risk Management Data Architecture Risk 52

TDAN

NOVEMBER 15, 2022

Naturally, being intelligent and rational beings, we took the action necessary to prevent the oncoming catastrophe. Surely then, being intelligent and rational beings, we prepared for what was to come by stopping building […]. In 2006, the world learned an inconvenient truth.

Data Architecture 52

Data Architecture Risk Data Strategy Business Intelligence 52

CIO Business Intelligence

SEPTEMBER 20, 2023

Over the years we’ve been working with business intelligence (BI) tools, and then incorporating other big data solutions outside of traditional BI, and, later, adopting advanced analytics. So in the data part, we’ve grown with technologies that weren’t convergent.

Modeling 98

Modeling Insurance IT Cost-Benefit 98

Octopai

APRIL 8, 2020

While there are many factors that led to this event, one critical dynamic was the inadequacy of the data architectures supporting banks and their risk management systems. Let’s examine how these processes failed, what regulations were put in place as a result, and what this means for business intelligence teams today.

Finance 52

Finance Cost-Benefit Metadata Data Architecture 52

AWS Big Data

JANUARY 22, 2024

The majority of data produced by these accounts is used downstream for business intelligence (BI) purposes and in Amazon Athena , by hundreds of business users every day. The solution Acast implemented is a data mesh, architected on AWS.

Data-driven 85

Data-driven Advertising Metadata Data Architecture 85

BizAcuity

APRIL 14, 2022

Be it supply chain resilience, staff management, trend identification, budget planning, risk and fraud management, big data increases efficiency by making data-driven predictions and forecasts. With adequate market intelligence, big data analytics can be used for unearthing scope for product improvement or innovation.

Big Data 52

Big Data Data Analytics Management Unstructured Data 52

IBM Big Data Hub

JULY 13, 2023

The more complete, accurate and consistent a dataset is, the more informed business intelligence and business processes become. Physical data integrity is the protection of data wholeness (meaning the data isn’t missing important information), accessibility and accuracy while data is stored or in transit.

Data Quality 63

Data Quality Data Integration Metadata Cost-Benefit 63

CIO Business Intelligence

JULY 28, 2023

Prepare effectively: To deploy edge solutions successfully, you need to understand the types of in-house data involved, the existing data architecture, and application-performance requirements. These insights provide a glimpse into how organizations are gaining a competitive edge through edge computing. Edge Computing

IT 95

IT IoT Reporting Data Architecture 95

CIO Business Intelligence

MARCH 9, 2022

However, it also supports the quality, performance, security, and governance strengths of a data warehouse. As such, the lakehouse is emerging as the only data architecture that supports business intelligence (BI), SQL analytics, real-time data applications, data science, AI, and machine learning (ML) all in a single converged platform.

Data Lake 119

Data Lake Unstructured Data Data Warehouse Data Quality 119

Alation

APRIL 14, 2022

Edge analytics for IoT, for example, captures, digests, curates, and even pulls data from other, different application platforms and live connections to partners (previously a snail-like exercise using obsolete processes like EDI). Edge computing can be decentralized from on-premises, cellular, data centers, or the cloud.

Metadata 59

Metadata Data Governance Modeling Data-driven 59

AWS Big Data

NOVEMBER 29, 2023

In 2013, Amazon Web Services revolutionized the data warehousing industry by launching Amazon Redshift , the first fully-managed, petabyte-scale, enterprise-grade cloud data warehouse. Amazon Redshift made it simple and cost-effective to efficiently analyze large volumes of data using existing business intelligence tools.

Data Warehouse 101

Data Warehouse Data Lake Analytics Machine Learning 101