Corinium

APRIL 25, 2019

Ahead of the Chief Data Analytics Officers & Influencers, Insurance event we caught up with Dominic Sartorio, Senior Vice President for Products & Development, Protegrity to discuss how the industry is evolving. Life insurance needs accurate data on consumer health, age and other metrics of risk. ML can keep up.

Insurance 150

Insurance Risk IoT Data-driven 150

IBM Big Data Hub

OCTOBER 16, 2023

As more businesses use AI systems and the technology continues to mature and change, improper use could expose a company to significant financial, operational, regulatory and reputational risks. It includes processes that trace and document the origin of data, models and associated metadata and pipelines for audits.

Risk 70

Risk Modeling Management Metadata 70

CIO Business Intelligence

OCTOBER 19, 2022

Deepak Kaul, CIO of Zebra Technologies, reinforces the critical role that CIOs play in driving digital literacy : “Digital transformation is not a one-time event,” he says. “By We kept the data warehouse but augmented it with a cloud-based enterprise data lake and ML platform. What about risk? What about security?

IT 124

IT Data Warehouse Digital Transformation Risk 124

AWS Big Data

JUNE 27, 2024

Amazon Redshift is a fully managed, petabyte-scale data warehouse service in the cloud. You can start with just a few hundred gigabytes of data and scale to a petabyte or more. This enables you to use your data to acquire new insights for your business and customers. Document the entire disaster recovery process.

Snapshot 91

Snapshot Data Warehouse Data Processing Strategy 91

CIO Business Intelligence

APRIL 12, 2023

Real-time AI brings together streaming data and machine learning algorithms to make fast and automated decisions; examples include recommendations, fraud detection, security monitoring, and chatbots. The underpinning architecture needs to include event-streaming technology, high-performing databases, and machine learning feature stores.

Machine Learning 145

Machine Learning Cost-Benefit Data-driven Strategy 145

AWS Big Data

DECEMBER 8, 2023

More and more of FanDuel’s community of analysts and business users looked for comprehensive data solutions that centralized the data across the various arms of their business. Their individual, product-specific, and often on-premises data warehouses soon became obsolete.

Data Warehouse 92

Data Warehouse Cost-Benefit KPI Risk 92

Smart Data Collective

FEBRUARY 20, 2022

On the one hand, the use of agents allows you to actively monitor and respond to events. During this process, you need to analyze your data assets, categorize and prioritize them, conduct a risk assessment, and establish appropriate monitoring and response techniques. There are different opinions.

Behavioral Analytics 130

Behavioral Analytics Risk Machine Learning Interactive 130

IBM Big Data Hub

MAY 9, 2023

We are also building models trained on different types of business data, including code, time-series data, tabular data, geospatial data and IT events data. With watsonx.data , businesses can quickly connect to data, get trusted insights and reduce data warehouse costs.

Data Warehouse 106

Data Warehouse Machine Learning Cost-Benefit Metadata 106

Cloudera

JANUARY 21, 2021

While cloud-native, point-solution data warehouse services may serve your immediate business needs, there are dangers to the corporation as a whole when you do your own IT this way. And you also already know siloed data is costly, as that means it will be much tougher to derive novel insights from all of your data by joining data sets.

Data Warehouse 94

Data Warehouse Data Lake IT Analytics 94

Cloudera

AUGUST 31, 2021

Cloudera and Accenture demonstrate strength in their relationship with an accelerator called the Smart Data Transition Toolkit for migration of legacy data warehouses into Cloudera Data Platform. Accenture’s Smart Data Transition Toolkit . Are you looking for your data warehouse to support the hybrid multi-cloud?

Data Warehouse 82

Data Warehouse Cost-Benefit Metadata Data-driven 82

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.

Cost-Benefit 122

Cost-Benefit Internet of Things Data-driven Data Lake 122

CIO Business Intelligence

AUGUST 17, 2023

But with cloud, there could be an event that causes your consumption to spiral and then tomorrow you have to go back to the CFO and explain you need another R2 million.” He cites a data management project he’s currently working on, which is a key component in his current IT transformation strategy. It was that simple.”

Data Warehouse 98

Data Warehouse Cost-Benefit Digital Transformation Strategy 98

AWS Big Data

MAY 28, 2024

Before we dive in, we recommend reviewing Architectural patterns for real-time analytics using Amazon Kinesis Data Streams, part 1 for the basic functionalities of Kinesis Data Streams. Part 1 also contains architectural examples for building real-time applications for time series data and event-sourcing microservices.

IoT 115

IoT Analytics Dashboards Data-driven 115

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 105

Risk Data Lake Marketing Data Warehouse 105

AWS Big Data

FEBRUARY 21, 2023

Data warehouses play a vital role in healthcare decision-making and serve as a repository of historical data. A healthcare data warehouse can be a single source of truth for clinical quality control systems. What is a dimensional data model? What is a dimensional data model?

Data Warehouse 86

Data Warehouse Data Lake Cost-Benefit Metadata 86

DataKitchen

SEPTEMBER 21, 2023

Data in Place refers to the organized structuring and storage of data within a specific storage medium, be it a database, bucket store, files, or other storage platforms. In the contemporary data landscape, data teams commonly utilize data warehouses or lakes to arrange their data into L1, L2, and L3 layers.

Testing 169

Testing Data Quality Predictive Modeling Metrics 169

Jet Global

APRIL 20, 2020

There was always a delay between the events being recorded in financial systems (for example, the purchase of a product or service) and the ability to put that information in context and draw useful conclusions from it (for example, a weekly sales report). What Is Financial Intelligence? Today’s technology takes this evolution a step further.

Business Intelligence 78

Business Intelligence Finance Data Warehouse OLAP 78

Cloudera

AUGUST 9, 2022

Data platforms are no longer skunkworks projects or science experiments. As customers import their mainframe and legacy data warehouse workloads, there is an expectation on the platform that it can meet, if not exceed, the resilience of the prior system and its associated dependencies. Why disaster recovery?

Data Lake 78

Data Lake Data Warehouse Data-driven IoT 78

IBM Big Data Hub

SEPTEMBER 27, 2023

The list of challenges is long: cloud attack surface sprawl, complex application environments, information overload from disparate tools, noise from false positives and low-risk events, just to name a few. You get near real-time visibility and insights from your ingested data.

Cost-Benefit 93

Cost-Benefit OLAP Dashboards Visualization 93

Jet Global

JULY 2, 2019

The sheer scale of data being captured by the modern enterprise has necessitated a monumental shift in how that data is stored. From the humble database through to data warehouses , data stores have grown both in scale and complexity to keep pace with the businesses they serve, and the data analysis now required to remain competitive.

Data Lake 73

Data Lake Data Warehouse Big Data Machine Learning 73

CIO Business Intelligence

OCTOBER 19, 2023

Power BI no longer has its own streaming dataset option, but you can create a real-time dashboard using Azure Event Hubs and the Azure Stream Analytics no-code editor to enable business analysts to combine batched and streaming data in the same Power BI reports.

Slice and Dice 126

Slice and Dice Scorecard Metrics Visualization 126

Cloudera

SEPTEMBER 2, 2020

Additionally, 48% of Enterprises are choosing hybrid/multi-cloud strategies to migrate workloads as needed between on-premises and public cloud environments due to factors such as data residency, cost, speed/agility/innovation and security/risk (Source: 451 Research, a part of S & P Global Market Intelligence).

Cost-Benefit 69

Cost-Benefit Data Warehouse Data Lake Machine Learning 69

Timo Elliott

MARCH 6, 2023

He explains that automation and innovation have become critical as the world experiences supply chain disruptions, inflation, extreme weather events, worker shortages, and uncertainty. He gave an example of a mobile application used by a zoo in Sydney that brings together all the information employees need, from HR data to emergency data.

Machine Learning 111

Machine Learning Cost-Benefit Uncertainty Data Warehouse 111

Cloudera

MAY 13, 2021

Since my last blog, What you need to know to begin your journey to CDP , we received many requests for a tool from Cloudera to analyze the workloads and help upgrade or migrate to Cloudera Data Platform (CDP). WM saves time and reduces risks during upgrades or migrations. How WM helps the Move to CDP. Batched and scripted.

Management 73

Management Data Warehouse Interactive Reporting 73

AWS Big Data

MARCH 26, 2024

You can subscribe to data products that help enrich customer profiles, for example demographics data, advertising data, and financial markets data. Amazon Kinesis ingests streaming events in real time from point-of-sales systems, clickstream data from mobile apps and websites, and social media data.

Data Strategy 92

Data Strategy Strategy Data Warehouse Prescriptive Analytics 92

AWS Big Data

OCTOBER 26, 2023

Amazon Redshift is a fast, petabyte-scale, cloud data warehouse that tens of thousands of customers rely on to power their analytics workloads. To get started, we need an Amazon Redshift Serverless data warehouse with the Redshift ML feature enabled and an Amazon SageMaker Studio environment with access to SageMaker Feature Store.

Modeling 69

Modeling Data Warehouse Machine Learning Testing 69

IBM Big Data Hub

OCTOBER 30, 2023

Real-time analytics on customer data — made possible by DB2’s high-speed processing on AWS — allows the company to offer personalized insurance packages. AI algorithms sift through large datasets to identify fraud risks and streamline claims processing, improving both efficiency and customer satisfaction.

Insurance 77

Insurance Data Warehouse Data-driven Unstructured Data 77

Cloudera

OCTOBER 26, 2020

The validation of both solutions functioning as intended will benefit our joint customers with better support, reduced risk, and lower total cost of ownership (TCO). . Better performance for fast changing / updateable data. For clarity, the scope of the current certification covers CDP-Private Cloud Base. Encryption.

Testing 87

Testing Unstructured Data Cost-Benefit Big Data 87

datapine

SEPTEMBER 29, 2022

With quality data at their disposal, organizations can form data warehouses for the purposes of examining trends and establishing future-facing strategies. Industry-wide, the positive ROI on quality data is well understood. This is also the point where data quality rules should be reviewed again.

Data Quality 241

Data Quality Metrics Data-driven Management 241

O'Reilly on Data

SEPTEMBER 11, 2019

Increasingly, the term “data engineering” is synonymous with the practice of creating data pipelines, usually by hand. In quite another respect, however, modern data engineering has evolved to support a range of scenarios that simply were not imaginable 40 years ago. Similarly, “data warehouse” fell 211 places to No.

IoT 24

IoT Big Data Data Warehouse Uncertainty 24

AWS Big Data

JANUARY 31, 2023

In addition, data governance is required to comply with an increasingly complex regulatory environment with data privacy (such as GDPR and CCPA) and data residency regulations (such as in the EU, Russia, and China). Amazon Redshift is a fully-managed, petabyte-scale data warehouse service in the AWS Cloud.

Data Lake 98

Data Lake Data Governance Data Architecture Machine Learning 98

Jet Global

JULY 29, 2020

There is a significant risk with unsupported products. Fear of the unknown has left many companies afraid to implement a new reporting tool, yet the risk of staying with Discoverer is becoming increasingly high. Exception reporting – Detection and alerts that trigger workflows based on business events. View Solutions Now.

Reporting 98

Reporting Cost-Benefit Consulting Finance 98

Cloudera

SEPTEMBER 15, 2022

July brings summer vacations, holiday gatherings, and for the first time in two years, the return of the Massachusetts Institute of Technology (MIT) Chief Data Officer symposium as an in-person event. A key area of focus for the symposium this year was the design and deployment of modern data platforms. What is a data fabric?

Data Lake 83

Data Lake Data Architecture Data-driven Data Warehouse 83

Cloudera

OCTOBER 3, 2018

The tremendous growth in both unstructured and structured data overwhelms traditional data warehouses. We are both convinced that a scale-out, shared-nothing architecture — the foundation of Hadoop — is essential for IoT, data warehousing and ML. We have each innovated separately in those areas.

Uncertainty 75

Uncertainty IoT Risk Reporting 75

CDW Research Hub

JULY 2, 2021

This provides near-real-time data activity monitoring and protection capabilities for Database as a Service (DBaaS) sources, such as AWS Kinesis and Azure Event Hubs. GDP is a leading data security platform for databases and data warehouses. Better together.

Cost-Benefit 52

Cost-Benefit Data Warehouse Digital Transformation Risk 52

Alation

APRIL 14, 2023

People were familiar with the value of a data catalog (and the growing need for data governance ), though many admitted to being somewhat behind on their journeys. In this blog, I’ll share a quick high-level overview of the event, with an eye to core themes. In “The modern data stack is dead, long live the modern data stack!”

Data Warehouse 52

Data Warehouse Data-driven Metadata Digital Transformation 52

Birst BI

OCTOBER 30, 2018

Remember when you began your career and the prospect of retirement was an event in the distant future? Every day, these companies pose questions such as: Will this new client provide a good return on investment, relative to the potential risk? Is this existing client a termination risk? Automate the data processing sequence.

Predictive Analytics 73

Predictive Analytics Descriptive Analytics Analytics Metrics 73