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 100

Digital Transformation Cost-Benefit Informatics Data mining 100

Cloudera

JANUARY 5, 2023

Faced with even more pressure to remain resilient and agile amid looming global economic threats, Asia-Pacific (APAC) region businesses are looking to further mobilize emerging technologies such as artificial intelligence (AI) and machine learning that will optimize operational efficiencies and cost savings. .

Cost-Benefit 52

Cost-Benefit Business Objectives Machine Learning Data Architecture 52

AWS Big Data

APRIL 29, 2024

This system simplifies managing user access, saves time for data security administrators, and minimizes the risk of configuration errors. Addressing big data challenges – Big data comes with unique challenges, like managing large volumes of rapidly evolving data across multiple platforms.

Management 97

Management Big Data Metadata Data Warehouse 97

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 104

IT Digital Transformation Internet of Things Data Architecture 104

erwin

JULY 9, 2020

For more info about how enterprise architecture differs from solutions, technical and data architecture, see: The Difference Between Enterprise Architecture and Solutions Architecture. The Difference Between Enterprise Architecture and Technical Architecture.

Enterprise 145

Enterprise Data Architecture Data-driven Digital Transformation 145

CIO Business Intelligence

MARCH 9, 2022

Some clients look at the ‘lift and shift then optimize’ approach as a viable path to get their developers and environments over to the cloud sooner, and then optimize [for the cloud] once they are operating in the cloud.”. Before adopting a cloud-native approach, it is important to identify the risks involved, Rubina says.

Strategy 145

Strategy Consulting Risk Testing 145

CIO Business Intelligence

JUNE 9, 2023

To give you a head start, here are some of the organizational KPIs that help capture data management’s ROI: Improved operational efficiency: Effective data management can streamline business processes, reduce manual labor and improve the accuracy of data-driven decision-making. Read about Dell Technologies Data Management here.

Strategy 115

Strategy Management Key Performance Indicator ROI 115

erwin

JANUARY 9, 2020

Then there’s unstructured data with no contextual framework to govern data flows across the enterprise not to mention time-consuming manual data preparation and limited views of data lineage. Building a more agile and governable data architecture: Create and implement common data design standards from the start.

Data Governance 144

Data Governance Modeling Metadata Unstructured Data 144

CIO Business Intelligence

MARCH 24, 2023

The Business Application Research Center (BARC) warns that data governance is a highly complex, ongoing program, not a “big bang initiative,” and it runs the risk of participants losing trust and interest over time.

Data Governance 142

Data Governance Management Metadata Data Quality 142

BizAcuity

NOVEMBER 22, 2022

In today’s world that is largely data-driven, organizations depend on data for their success and survival, and therefore need robust, scalable data architecture to handle their data needs. This typically requires a data warehouse for analytics needs that is able to ingest and handle real time data of huge volumes.

Data Warehouse 98

Data Warehouse Cost-Benefit Data Lake Internet of Things 98

CIO Business Intelligence

JULY 6, 2022

We design, develop, implement, manage and optimize the systems businesses of all kinds need to address their operational, application, and infrastructure needs.”. Our hybrid cloud solutions and services enable growth, reduce risk, lower costs, and increase productivity,” says Medianero.

Digital Transformation 90

Digital Transformation Manufacturing Data Architecture Consulting 90

TDAN

JULY 5, 2022

Whichever metaphor you would like to use, what is certain is that no organization will survive the twenty-first century without optimizing the use of its data assets. Similarly, cybersecurity, privacy, and compliance risks increasingly present huge […].

Data-driven 52

Data-driven Risk Optimization Enterprise 52

CDW Research Hub

MARCH 12, 2021

For organizations trying to get a better handle on their data so they can see how it affects their business outcomes, the digital age has accelerated the need for modernizing the data centers. IT is constantly under immense pressure to improve, scale, consolidate, and optimize applications to meet the needs of their end-users.

Unstructured Data 52

Unstructured Data Internet of Things IoT Optimization 52

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. Prioritize your investments.

Digital Transformation 128

Digital Transformation Strategy Data-driven Data Strategy 128

CDW Research Hub

JULY 27, 2021

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. In this way, the Cloud Data Warehouse Accelerator enables a seamless transition to Snowflake.

Data Warehouse 52

Data Warehouse Data Lake Data Architecture Consulting 52

BizAcuity

APRIL 1, 2023

Introduction In today’s world that is largely data-driven, organizations depend on data for their success and survival, and therefore need robust, scalable data architecture to handle their data needs. Data ingestion must be performant to handle large amounts of data.,

Data Warehouse 52

Data Warehouse Cost-Benefit Data Lake Internet of Things 52

IBM Big Data Hub

MAY 8, 2024

We first introduced our industry-specific enterprise cloud in collaboration with key partners–including BNP Paribas and CaixaBank–to help clients as they work to address various risks, navigate regulations, demonstrate their compliance and accelerate cloud adoption.

Enterprise 62

Enterprise Interactive Consulting Testing 62

Cloudera

SEPTEMBER 28, 2020

By upgrading to CDP Private Cloud Base, the customer is also prepared for the next stages in their CDP journey as they are now enabled to install CDP Private Cloud Experiences to take advantage of Hive LLAP based virtual data warehousing. The total data size is over one petabyte (1PB). Phase 1: Planning.

Testing 132

Testing Metadata Risk Data Science 132

Alation

MARCH 7, 2023

If data is the octopus, each tentacle then serves as a way to put that data to work. Some are dedicated to the management of the data : architecture, access, analytics, visualization, and automation. Optimizing generation Avista generates power mostly from hydroelectric dams.

Data-driven 52

Data-driven Forecasting Data Science Optimization 52

Cloudera

JULY 29, 2022

It supports business objectives like increasing revenues, improving customer experience, and driving profitability by giving business units and users access to relevant data so they can quickly gain the insight they need. Telecom operators can gain a competitive advantage by leveraging the massive volume of data generated on their networks.

Data Architecture 89

Data Architecture Data Strategy Risk Management Strategy 89

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

AWS Big Data

MARCH 28, 2024

To optimize the reconciliation process, these users require high performance transformation with the ability to scale on demand, as well as the ability to process variable file sizes ranging from as low as a few MBs to more than 100 GB. For optimal parallelization, the step concurrency is set at 10, allowing 10 steps to run concurrently.

Optimization 80

Optimization IT Big Data Data Processing 80

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 93

Risk Management Cost-Benefit Data mining 93

BizAcuity

APRIL 6, 2022

Hence, a lot of time and effort should be invested into research and development, hedging and risk management. Data warehousing, data integration and BI systems: The KPIs and data architecture that crypto casinos need to track alter slightly from what regular onlines casinos keep track of.

Data Analytics 52

Data Analytics Analytics B2B Deep Learning 52

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

Cloudera

AUGUST 28, 2018

Here’s what a few our judges had to say after reviewing and scoring nominations: “The nominations showed highly creative, innovative ways of using data, analytics, data science and predictive methodologies to optimize processes and to provide more positive customer experiences. ” – Cornelia Levy-Bencheton. .”

Digital Transformation 65

Digital Transformation Consulting Machine Learning IoT 65

IBM Big Data Hub

MAY 15, 2024

Business leaders risk compromising their competitive edge if they do not proactively implement generative AI (gen AI). Organizations require reliable data for robust AI models and accurate insights, yet the current technology landscape presents unparalleled data quality challenges.

Cost-Benefit 68

Cost-Benefit Data Integration Data Architecture Manufacturing 68

Cloudera

JANUARY 30, 2023

This dark data resides everywhere in the enterprise, siloed in multiple data repositories, from laptops and mobile devices to data lakes and applications. The purpose of this blog isn’t to emphasize the cyber risk of dark data but to spotlight its implications.

IoT 83

IoT Data Architecture Data Lake Machine Learning 83

IBM Big Data Hub

FEBRUARY 19, 2024

Cost optimization can be achieved through a combination of productivity enhancements, infrastructure savings and reductions in operating expenses. In 2023, the global data monetization market was valued at USD 3.5 When it comes to data optimization, most organizations focus solely on infrastructure cost reduction.

Cost-Benefit 64

Cost-Benefit Data-driven Optimization Marketing 64

Cloudera

SEPTEMBER 7, 2023

But it’s also fraught with risk. This June, for example, the European Union (EU) passed the world’s first regulatory framework for AI, the AI Act , which categorizes AI applications into “banned practices,” “high-risk systems,” and “other AI systems,” with stringent assessment requirements for “high-risk” AI systems.

Insurance 83

Insurance Risk Data-driven Finance 83

AWS Big Data

APRIL 19, 2023

In this post, we look at three key challenges that customers face with growing data and how a modern data warehouse and analytics system like Amazon Redshift can meet these challenges across industries and segments. Nasdaq’s massive data growth meant they needed to evolve their data architecture to keep up.

Data Warehouse 55

Data Warehouse Data Lake Unstructured Data Optimization 55

AWS Big Data

NOVEMBER 29, 2023

Modernizing analytics for scale, performance, and reliability “Our migration from legacy on-premises platform to Amazon Redshift allows us to ingest data 88% faster, query data 3x faster, and load daily data to the cloud 6x faster.

Data Warehouse 101

Data Warehouse Data Lake Analytics Machine Learning 101

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

AWS Big Data

MAY 30, 2024

The architecture consists of many layers: Rules engine – The rules engine was responsible for intercepting every incoming request. Based on the nature of the request, it routed the request to the API cluster that could optimally process that specific request based on the response time requirement.

Data Warehouse 86

Data Warehouse Data Lake Cost-Benefit Structured Data 86

Cloudera

NOVEMBER 25, 2021

At the heart of our multi-year, strategic partnership with AWS is enabling businesses to harness the power of both data and cloud. We have a joint vision to support acceleration, cost optimisation, and optimal experiences for cloud adoption to businesses across every industry. . The Power of Two.

Machine Learning 90

Machine Learning IoT Risk ROI 90

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. Orca Security is an industry-leading Cloud Security Platform that identifies, prioritizes, and remediates security risks and compliance issues across your AWS Cloud estate.

Data Lake 88

Data Lake Analytics Snapshot Optimization 88

Cloudera

SEPTEMBER 12, 2022

Combining and analyzing both structured and unstructured data is a whole new challenge to come to grips with, let alone doing so across different infrastructures. Both obstacles can be overcome using modern data architectures, specifically data fabric and data lakehouse. Unified data fabric. Better together.

Unstructured Data 75

Unstructured Data Data Architecture Data Lake Snapshot 75