CIO Business Intelligence

SEPTEMBER 6, 2023

While the potential of Generative AI in software development is exciting, there are still risks and guardrails that need to be considered. Risks of AI in software development Despite Generative AI’s ability to make developers more efficient, it is not error free. Artificial Intelligence, Machine Learning

Software 117

Software Experimentation Risk Data Lake 117

datapine

APRIL 15, 2020

When encouraging these BI best practices what we are really doing is advocating for agile business intelligence and analytics. Therefore, we will walk you through this beginner’s guide on agile business intelligence and analytics to help you understand how they work and the methodology behind them.

Business Intelligence 276

Business Intelligence Analytics Testing Dashboards 276

CIO Business Intelligence

OCTOBER 25, 2023

As new AI use cases continue to emerge, it is likely that we will see enterprises adopt AI — not merely in leveraging generative AI chat tools, but as a core driver of business that can create competitive differentiation. Or a sales team member inputs the prompt, “Can you create sales trends based on the following Q2 pipeline data?”

Enterprise 129

Enterprise Risk Manufacturing Finance 129

CIO Business Intelligence

MAY 10, 2023

Yet if we come across an ERP that’s not necessarily mainstream, they’ll have challenges getting into the back end, and integrating and understanding the relational data to connect it to our central data lake. That’s going to be an ongoing technical risk that we’ll have and we need to overcome that.

Data-driven 98

Data-driven IT Digital Transformation Data Governance 98

CIO Business Intelligence

SEPTEMBER 7, 2023

Adopting Prisma SASE reduces cost and risk while speeding up your digital transformation. You can use AI and machine learning across security, networking and user experience management, all in the same data lake.

IT 102

IT Data Lake Cost-Benefit Digital Transformation 102

CIO Business Intelligence

OCTOBER 4, 2023

At the lowest layer is the infrastructure, made up of databases and data lakes. User data is also housed in this layer, including profile, behavior, transactions, and risk. Technological layers To make all these strategic areas flow as smoothly as possible, PayPal’s technology is organized into four main layers.

Digital Transformation 123

Digital Transformation Deep Learning Data Lake Risk 123

erwin

OCTOBER 8, 2020

No less daunting, your next step is to re-point or even re-platform your data movement processes. And you can’t risk false starts or delayed ROI that reduces the confidence of the business and taint this transformational initiative. Without automation, this is a time-consuming and expensive undertaking.

Data Governance 145

Data Governance Metadata Testing Data Lake 145

CDW Research Hub

JULY 27, 2021

Mitigate risks with a seamless cloud migration. Reduce the total cost of ownership of the data infrastructure. Build the foundation for a logical data warehouse or logical data lake. Maintain one consistent business data model across all consumers and reporting tools.

Data Warehouse 52

Data Warehouse Data Lake Data Architecture Consulting 52

CIO Business Intelligence

APRIL 29, 2022

Preparing for an artificial intelligence (AI)-fueled future, one where we can enjoy the clear benefits the technology brings while also the mitigating risks, requires more than one article. This first article emphasizes data as the ‘foundation-stone’ of AI-based initiatives. Establishing a Data Foundation. era is upon us.

Data Governance 143

Data Governance IT Risk Data Lake 143

AWS Big Data

JUNE 28, 2023

Furthermore, the time required to build or change pipelines makes the data unfit for near-real-time use cases such as detecting fraudulent transactions, placing online ads, and tracking passenger train schedules. Improving the zero-ETL performance is a continuous goal for AWS.

Analytics 69

Analytics Data Warehouse Data Lake Data-driven 69

CIO Business Intelligence

OCTOBER 18, 2023

If anything, 2023 has proved to be a year of reckoning for businesses, and IT leaders in particular, as they attempt to come to grips with the disruptive potential of this technology — just as debates over the best path forward for AI have accelerated and regulatory uncertainty has cast a longer shadow over its outlook in the wake of these events.

Risk 134

Risk Manufacturing Enterprise Technology 134

CIO Business Intelligence

SEPTEMBER 6, 2022

As a result, Pimblett now runs the organization’s data warehouse, analytics, and business intelligence. Establishing a clear and unified approach to data. Very has come full circle as a business built on catalog data, but it took some introspection in order to figure out the best way to get there.

IT 81

IT Forecasting Data Lake Enterprise 81

CIO Business Intelligence

SEPTEMBER 8, 2022

“The enormous potential of real-time data not only gives businesses agility, increased productivity, optimized decision-making, and valuable insights, but also provides beneficial forecasts, customer insights, potential risks, and opportunities,” said Krumova. Business Intelligence

Cost-Benefit 110

Cost-Benefit Internet of Things Data-driven Data Lake 110

FineReport

MARCH 24, 2024

Data analysts contribute value to organizations by uncovering trends, patterns, and insights through data gathering, cleaning, and statistical analysis. They collaborate with cross-functional teams to meet organizational objectives and work across diverse sectors, including business intelligence, finance, marketing, and consulting.

Statistics 52

Statistics Data mining Visualization Reporting 52

CIO Business Intelligence

DECEMBER 4, 2023

For example, a purpose-built content services platform and well-architected data lake can provide easy access for automation and AI use. When data is stored in a modern, accessible repository, organizations gain newfound capabilities. Connect/Activate. Preserve/Dispose.

Unstructured Data 52

Unstructured Data Data Lake Metadata Business Objectives 52

CIO Business Intelligence

MARCH 13, 2024

Mentre nella business intelligence la persona decide prima quale sarà la relazione causa-effetto tra i dati e la decisione finale, quindi, la si può considerare al cento per cento spiegabile, nell’IA la decisione è solo parzialmente informata, perché non si riesce a controllare del tutto la relazione causa-effetto.

Machine Learning 101

Machine Learning Deep Learning Big Data Testing 101

CIO Business Intelligence

OCTOBER 1, 2022

While P&G’s recipe for scale relies on technology, including investment in a scalable data and AI environment centered on cross-functional data lakes, Cretella says P&G’s secret sauce is the skills of hundreds of talented data scientists and engineers who understand the company’s business inside and out.

Manufacturing 144

Manufacturing Digital Transformation IoT Internet of Things 144

CIO Business Intelligence

DECEMBER 13, 2022

We’re also doing a lot with population health management, performing more comprehensive patient assessments, managing our high-risk patients, stabilizing transitions of care, optimizing outpatient care, and really trying to call out things that help us understand disease progression.

Strategy 95

Strategy Technology Digital Transformation Data Lake 95

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. “We This allowed us to derive insights more easily.”

Digital Transformation 86

Digital Transformation Cost-Benefit Informatics Data mining 86

Alation

OCTOBER 21, 2021

Data Swamp vs Data Lake. When you imagine a lake, it’s likely an idyllic image of a tree-ringed body of reflective water amid singing birds and dabbling ducks. I’ll take the lake, thank you very much. But when it’s dirty, stagnant, or hard to unleash, your business will suffer. Benefits of a Data Lake.

Data Lake 52

Data Lake Metadata Data Warehouse Data Governance 52

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 128

Enterprise Consulting Modeling Cost-Benefit 128

CIO Business Intelligence

APRIL 12, 2023

All of this needs to work cohesively in a real-time ecosystem and support the speed and scale necessary to realize the business benefits of real-time AI. Most current data architectures were designed for batch processing with analytics and machine learning models running on data warehouses and data lakes.

Machine Learning 132

Machine Learning Cost-Benefit Data-driven Strategy 132

CIO Business Intelligence

APRIL 6, 2022

Large enterprises that have traditionally been risk-averse are now adopting new approaches such as investing in design and innovation studios, partnering with startups for niche capabilities, and gaining early access to technology through strategic partnerships with hyper-scalers.

Experimentation 81

Experimentation Data Lake Uncertainty Enterprise 81

IBM Big Data Hub

DECEMBER 16, 2022

For example, data catalogs have evolved to deliver governance capabilities like managing data quality and data privacy and compliance. It uses metadata and data management tools to organize all data assets within your organization.

Metadata 52

Metadata Data Quality Data-driven Data Governance 52

FineReport

APRIL 11, 2023

In today’s fast-paced business environment, making informed decisions based on accurate and up-to-date information is crucial for achieving success. With the advent of Business Intelligence Dashboard (BI Dashboard), access to information is no longer limited to IT departments.

Dashboards 40

Dashboards Business Intelligence Cost-Benefit Metrics 40

CIO Business Intelligence

APRIL 22, 2024

Questi requisiti sono suddivisi in tre macroaree: governance, risk management e controllo della catena di fornitura. Per esempio, “i PoC aiutano a definire i parametri in base ai quali organizzare i data lake o i criteri per la digitalizzazione dei workflow.

Data Lake 94

Data Lake Testing Management IoT 94

Jet Global

OCTOBER 7, 2020

In the future, customers will be able to deploy Data Entities and replicate transactional tables in an Azure Data Lake. Reporting and analytics solutions from insightsoftware eliminate complexity, reduce cost, and decrease the risk of lengthy implementations. Enterprise Business Intelligence.

Data Warehouse 90

Data Warehouse OLAP Reporting Finance 90

AWS Big Data

JULY 20, 2023

One key component that plays a central role in modern data architectures is the data lake, which allows organizations to store and analyze large amounts of data in a cost-effective manner and run advanced analytics and machine learning (ML) at scale. Why did Orca build a data lake?

Data Lake 87

Data Lake Analytics Snapshot Optimization 87

Sisense

OCTOBER 6, 2020

These programs and systems are great at generating basic visualizations like graphs and charts from static data. The challenge comes when the data becomes huge and fast-changing. Why is quantitative data important? Qualitative data benefits: Unlocking understanding. Qualitative data can go where quantitative data can’t.

Statistics 98

Statistics Unstructured Data Data-driven Visualization 98

AWS Big Data

MARCH 1, 2024

One of the bank’s key challenges related to strict cybersecurity requirements is to implement field level encryption for personally identifiable information (PII), Payment Card Industry (PCI), and data that is classified as high privacy risk (HPR). Only users with required permissions are allowed to access data in clear text.

Data Lake 99

Data Lake Data Warehouse Management Risk 99

CIO Business Intelligence

MAY 21, 2024

It will serve as the “nerve center” of an enterprise’s IT operation, the company said, adding that the offering will generate insights across an enterprise’s folio of applications to help reduce risk and compliance processes.

Enterprise 89

Enterprise Management Data Lake Risk 89

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 100

Data Warehouse Data Lake Analytics Machine Learning 100

CIO Business Intelligence

MARCH 9, 2022

However, they do contain effective data management, organization, and integrity capabilities. As a result, users can easily find what they need, and organizations avoid the operational and cost burdens of storing unneeded or duplicate data copies. Warehouse, data lake convergence. Meet the data lakehouse.

Data Lake 103

Data Lake Unstructured Data Data Warehouse Data Quality 103

Domino Data Lab

APRIL 3, 2019

Probably the best one-liner I’ve encountered is the analogy that: DG is to data assets as HR is to people. Also, while surveying the literature two key drivers stood out: Risk management is the thin-edge-of-the-wedge ?for Most of the data management moved to back-end servers, e.g., databases. for DG adoption in the enterprise.

Data Governance 84

Data Governance Machine Learning Metadata Big Data 84

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 also helps you securely access your data in operational databases, data lakes, or third-party datasets with minimal movement or copying of data.

Data Warehouse 85

Data Warehouse Data Lake Cost-Benefit Structured Data 85

CIO Business Intelligence

SEPTEMBER 21, 2022

CMOs need to look for ways to leverage customer data to deliver superior and highly tailored experiences to customers. CIOs need to ensure that the business’ use of data is compliant, secure, and done according to best practices. They need to assure the board that the risk from data is minimised.

Risk 87

Risk Data Lake Marketing Interactive 87

AWS Big Data

MAY 16, 2023

Application log challenges: Data management and compliance Application logs are an essential component of any application; they provide valuable information about the usage and performance of the system. The exact length of time required for data storage varies depending on the specific regulation and the type of data being stored.

Data Lake 69

Data Lake Cost-Benefit Optimization Testing 69