CIO Business Intelligence

AUGUST 9, 2022

What is a data engineer? Data engineers design, build, and optimize systems for data collection, storage, access, and analytics at scale. They create data pipelines used by data scientists, data-centric applications, and other data consumers. Data engineer vs. data architect.

Analytics 131

Analytics Data Science Statistics Unstructured Data 131

Cloudera

JUNE 29, 2023

To improve the way they model and manage risk, institutions must modernize their data management and data governance practices. Implementing a modern data architecture makes it possible for financial institutions to break down legacy data silos, simplifying data management, governance, and integration — and driving down costs.

Data Architecture 82

Data Architecture Risk Management Risk Management 82

Ontotext

DECEMBER 1, 2023

Most organisations are missing this ability to connect all the data together. from Q&A with Tim Berners-Lee ) Finally, Sumit highlighted the importance of knowledge graphs to advance semantic data architecture models that allow unified data access and empower flexible data integration.

Metadata 78

Metadata Sales Consulting Enterprise 78

CIO Business Intelligence

MAY 21, 2024

In the annual Porsche Carrera Cup Brasil, data is essential to keep drivers safe and sustain optimal performance of race cars. Until recently, getting at and analyzing that essential data was a laborious affair that could take hours, and only once the race was over.

Broadcasting 82

Broadcasting Recreation/Entertainment Manufacturing Data Lake 82

CIO Business Intelligence

APRIL 29, 2022

Launching a data-first transformation means more than simply putting new hardware, software, and services into operation. True transformation can emerge only when an organization learns how to optimally acquire and act on data and use that data to architect new processes.

Digital Transformation 132

Digital Transformation Strategy Data-driven Data Strategy 132

CIO Business Intelligence

FEBRUARY 20, 2023

They handle complex tasks such as customizing the platform, configuring advanced security features, and optimizing performance while ensuring the platform aligns with company requirements and goals. The certification emphasizes testing, governance, and integration with external systems within an organization’s infrastructure.

Consulting 84

Consulting B2B Cost-Benefit Sales 84

Cloudera

SEPTEMBER 6, 2022

Data has continued to grow both in scale and in importance through this period, and today telecommunications companies are increasingly seeing data architecture as an independent organizational challenge, not merely an item on an IT checklist. Why telco should consider modern data architecture. The challenges.

Data Architecture 82

Data Architecture Cost-Benefit Digital Transformation Business Driver 82

Sisense

SEPTEMBER 3, 2020

Programming and statistics are two fundamental technical skills for data analysts, as well as data wrangling and data visualization. Data analysts in one organization might be called data scientists or statisticians in another.

Statistics 97

Statistics Metrics Visualization Finance 97

IBM Big Data Hub

MAY 15, 2024

Organizations require reliable data for robust AI models and accurate insights, yet the current technology landscape presents unparalleled data quality challenges. With a multicloud data strategy, organizations need to optimize for data gravity and data locality.

Cost-Benefit 72

Cost-Benefit Data Integration Data Architecture Manufacturing 72

CIO Business Intelligence

NOVEMBER 29, 2022

A sea of complexity For years, data ecosystems have gotten more complex due to discrete (and not necessarily strategic) data-platform decisions aimed at addressing new projects, use cases, or initiatives. Layering technology on the overall data architecture introduces more complexity.

Data Architecture 111

Data Architecture Data Integration IoT Strategy 111

BizAcuity

APRIL 14, 2022

Big Data technology in today’s world. Did you know that the big data and business analytics market is valued at $198.08 Or that the US economy loses up to $3 trillion per year due to poor data quality? quintillion bytes of data which means an average person generates over 1.5 megabytes of data every second?

Big Data 52

Big Data Data Analytics Management Unstructured Data 52

Ontotext

MARCH 27, 2024

It accelerates data projects with data quality and lineage and contextualizes through ontologies , taxonomies, and vocabularies, making integrations easier. RDF is used extensively for data publishing and data interchange and is based on W3C and other industry standards. Increasingly, organizations are using both.

Modeling 69

Modeling Metadata Data Quality Enterprise 69

AWS Big Data

JULY 20, 2023

With data becoming the driving force behind many industries today, having a modern data architecture is pivotal for organizations to be successful. Prior to the creation of the data lake, Orca’s data was distributed among various data silos, each owned by a different team with its own data pipelines and technology stack.

Data Lake 90

Data Lake Analytics Snapshot Optimization 90

CIO Business Intelligence

MARCH 9, 2022

They conveniently store data in a flat architecture that can be queried in aggregate and offer the speed and lower cost required for big data analytics. On the other hand, they don’t support transactions or enforce data quality. Each ETL step risks introducing failures or bugs that reduce data quality. .

Data Lake 119

Data Lake Unstructured Data Data Warehouse Data Quality 119

Cloudera

SEPTEMBER 7, 2023

The way to manage this is by embedding data integration, data quality-monitoring, and other capabilities into the data platform itself , allowing financial firms to streamline these processes, and freeing them to focus on operationalizing AI solutions while promoting access to data, maintaining data quality, and ensuring compliance.

Insurance 79

Insurance Risk Data-driven Finance 79

CIO Business Intelligence

JULY 28, 2023

Enterprises are dealing with increasing amounts of data, and managing it has become imperative to optimize its value and keep it secure. Data lifecycle management is essential to ensure it is managed effectively from creation, storage, use, sharing, and archive to the end of life when it is deleted.

Risk 98

Risk Management Cost-Benefit Data mining 98

AWS Big Data

MARCH 26, 2024

A Gartner Marketing survey found only 14% of organizations have successfully implemented a C360 solution, due to lack of consensus on what a 360-degree view means, challenges with data quality, and lack of cross-functional governance structure for customer data.

Data Strategy 72

Data Strategy Strategy Data Warehouse Prescriptive Analytics 72

IBM Big Data Hub

AUGUST 1, 2022

Bad data costs companies an average of $15 million. . 73% of business executives are unhappy with their data quality. . 61% of organizations are unable to harness data to create a sustained competitive advantage. . Thus, why we have made efforts to help companies improve their business practices through data analysis.

Unstructured Data 52

Unstructured Data Deep Learning Data Quality Data Architecture 52

IBM Big Data Hub

DECEMBER 4, 2023

The platform has been used to modernize and unify the information technology (IT) ecosystem of major financial firms, simplify human capital management (HCM) across brands’ subsidiaries, and optimize reporting processes in complex healthcare settings. Data quality: Ensure migrated data is clean, correct and current.

Testing 80

Testing Consulting Digital Transformation Cost-Benefit 80

Ontotext

FEBRUARY 7, 2024

It also impedes interoperability – even though there are standards for sharing ontology mappings, it still isn’t optimal. The Linked Data Illusion The current Linked Open Data Cloud brings the assumption that if we talk about the same thing, our data is linked. But that’s not true.

Metadata 52

Metadata Data Integration Measurement Data-driven 52

Ontotext

FEBRUARY 26, 2024

Labeled property graphs (LPGs) and RDFs are optimized for different use cases, but this is one of those use cases that falls squarely on RDF. Each of these types of graph databases is optimized for different things and there’s very little overlap when you look at it. RDF tends to be more data and metadata -centric.

Technology 52

Technology Cost-Benefit Data-driven Metadata 52

Ontotext

MAY 30, 2019

And before we move on and look at these three in the context of the techniques Linked Data provides, here is an important reminder in case we are wondering if Linked Data is too good to be true: Linked Data is no silver bullet. 6 Linked Data, Structured Data on the Web. Linked Data and Information Retrieval.

Cost-Benefit 87

Cost-Benefit Technology Big Data Metadata 87

Alation

JANUARY 25, 2022

Valuable metadata is the invisible architecture. Just like Gartner, we’re confident building out this capability will optimize productivity, business optimization, and user experience. The data catalog provides the foundational capabilities for this. The Data Catalog as a Business Foundation.

Metadata 52

Metadata IT Metrics Data-driven 52

Ontotext

MAY 30, 2019

And before we move on and look at these three in the context of the techniques Linked Data provides, here is an important reminder in case we are wondering if Linked Data is too good to be true: Linked Data is no silver bullet. 6 Linked Data, Structured Data on the Web. Linked Data and Information Retrieval.

Cost-Benefit 75

Cost-Benefit Technology Big Data Metadata 75

IBM Big Data Hub

JANUARY 17, 2023

As part of a data fabric, IBM’s data integration capability creates a roadmap that helps organizations connect data from disparate data sources, build data pipelines, remediate data issues, enrich data quality, and deliver integrated data to multicloud platforms. Start a trial.

Data-driven 57

Data-driven Enterprise Data Governance Prescriptive Analytics 57

Andrew White

JANUARY 9, 2022

Most of D&A concerns and activities are done within EA in the Info/Data architecture domain/phases. – I remember that I tried to answer this live during the webinar. – We see most, if not all, of data management being augmented with ML. They can all help you at any time depending not the context.

Analytics 64

Analytics Measurement Modeling Data-driven 64

DataKitchen

AUGUST 8, 2023

On 20 July 2023, Gartner released the article “ Innovation Insight: Data Observability Enables Proactive Data Quality ” by Melody Chien. It alerts data and analytics leaders to issues with their data before they multiply. It alerts data and analytics leaders to issues with their data before they multiply.

Data Quality 130

Data Quality Testing Snapshot Reporting 130

IBM Big Data Hub

AUGUST 4, 2023

Today, the way businesses use data is much more fluid; data literate employees use data across hundreds of apps, analyze data for better decision-making, and access data from numerous locations. MLOps creates a process where it’s easier to cull insights from business data.

Data Architecture 64

Data Architecture Data Lake Machine Learning Data Governance 64

CIO Business Intelligence

NOVEMBER 7, 2023

As part of its efforts to eliminate data silos in the organization, Lexmark established a “data steering team.” Lexmark uses a data lakehouse architecture that it built on top of a Microsoft Azure environment. Data Engineering, Data Governance, Data Integration, Data Management, Data Quality

Data Warehouse 142

Data Warehouse Digital Transformation Data-driven Reporting 142

Cloudera

JULY 20, 2021

So relying upon the past for future insights with data that is outdated due to changing customer preferences, the hyper-competitive world and emphasis on environment, society and governance produces non-relevant insights and sub-optimized returns. Quality data needs to be the normalizing factor.

Manufacturing 101

Manufacturing Forecasting IoT Insurance 101

BI-Survey

FEBRUARY 6, 2020

Modernizing and optimizing enterprise reporting – or classical BI – has not been such a priority for many of today’s organizations, even though it constitutes the backbone of information supply for decision support. Data management has always been a challenge for companies. Modernize data management to guarantee high data quality.

Reporting 59

Reporting Optimization Enterprise Data Quality 59

Alation

APRIL 19, 2022

Data modernization is the process of transferring data to modern cloud-based databases from outdated or siloed legacy databases, including structured and unstructured data. In that sense, data modernization is synonymous with cloud migration. What Is the Role of the Cloud in Data Modernization? Advanced Tooling.

Cost-Benefit 52

Cost-Benefit Data Governance Manufacturing Data Architecture 52

AWS Big Data

APRIL 5, 2023

“Each of these tools were getting data from a different place, and that’s where it gets difficult,” says Jeroen Minnaert, head of data at Showpad. “If If each tool tells a different story because it has different data, we won’t have alignment within the business on what this data means.”

Dashboards 52

Dashboards Reporting Cost-Benefit Visualization 52

BI-Survey

DECEMBER 22, 2020

Enterprises need a “NEW DEAL” between data producers and data consumers that effectively addresses the top three challenges to improving data handling – time spent, a lack of transparency of data value and insufficient data quality.

Data-driven 52

Data-driven Data Strategy Strategy Enterprise 52