AWS Big Data

NOVEMBER 29, 2023

This cloud service was a significant leap from the traditional data warehousing solutions, which were expensive, not elastic, and required significant expertise to tune and operate. Amazon Redshift Serverless, generally available since 2021, allows you to run and scale analytics without having to provision and manage the data warehouse.

Data Warehouse 127

Data Warehouse Analytics Data Lake Machine Learning 127

CIO Business Intelligence

DECEMBER 20, 2024

Real-time analytics. The goal of many modern data architectures is to deliver real-time analytics the ability to perform analytics on new data as it arrives in the environment. Data architectures should integrate with legacy applications using standard API interfaces. Real-time data enablement.

Data Architecture 122

Data Architecture Management Consulting Internet of Things 122

Smart Data Collective

AUGUST 14, 2019

The healthcare sector is heavily dependent on advances in big data. Healthcare organizations are using predictive analytics , machine learning, and AI to improve patient outcomes, yield more accurate diagnoses and find more cost-effective operating models. Big data analytics: solutions to the industry challenges.

Big Data 101

Big Data Data Analytics Analytics Internet of Things 101

DataKitchen

NOVEMBER 29, 2021

As a result, enterprises will examine their end-to-end data operations and analytics creation workflows. Instead of allowing technology to be a barrier to teamwork, leading data organizations in 2022 will further expand the automation of workflows to improve and facilitate communication and coordination between the groups.

Testing 245

Testing Data Lake Data Architecture Manufacturing 245

DataKitchen

AUGUST 13, 2021

Figure 2: Different teams choose different tools when implementing self-service analytics. A New Jersey (NJ) data team uses a large Spark cluster and a best-of-breed toolchain, including tools like StreamSets, on a massive set of high-value drug development data. How can they handle schema drift or data verification?

Testing 246

Testing Dashboards Marketing Measurement 246

datapine

MAY 2, 2023

Table of Contents 1) Benefits Of Big Data In Logistics 2) 10 Big Data In Logistics Use Cases Big data is revolutionizing many fields of business, and logistics analytics is no exception. The complex and ever-evolving nature of logistics makes it an essential use case for big data applications.

Big Data 275

Big Data Internet of Things Cost-Benefit Optimization 275

DataKitchen

NOVEMBER 4, 2021

The requirement to integrate enormous quantities and varieties of data coupled with extreme pressure on analytics cycle time has driven the pharmaceutical industry to lead in DataOps adoption. The bottom line is how to attain analytic agility? It often takes months to progress from a data lake to the final delivery of insights.

Data Processing 246

Data Processing Data Lake Cost-Benefit Testing 246

AWS Big Data

NOVEMBER 22, 2024

Organizations run millions of Apache Spark applications each month on AWS, moving, processing, and preparing data for analytics and machine learning. Data practitioners need to upgrade to the latest Spark releases to benefit from performance improvements, new features, bug fixes, and security enhancements.

Cost-Benefit 105

Cost-Benefit Data-driven Software Testing 105

AWS Big Data

MARCH 27, 2024

Achieving this will also improve general public health through better and more timely interventions, identify health risks through predictive analytics, and accelerate the research and development process. This will be your online transaction processing (OLTP) data store for transactional data.

Data Analytics 117

Data Analytics Analytics Data Warehouse Data Lake 117

Rocket-Powered Data Science

MARCH 10, 2020

I wrote an extensive piece on the power of graph databases, linked data, graph algorithms, and various significant graph analytics applications. I publish this in its original form in order to capture the essence of my point of view on the power of graph analytics. Well, the graph analytics algorithm would notice!

Metadata 250

Metadata Machine Learning Prescriptive Analytics ROI 250

IBM Big Data Hub

NOVEMBER 2, 2022

Most recently we held an event at the IBM Data and AI Forum in Germany ( available on demand here ) where we shared the latest news in our business analytics portfolio. With IBM Business Analytics Enterprise, users discover and access analytics and planning tools in a streamlined experience. IBM Planning Analytics Engine.

Data-driven 60

Data-driven Business Analytics Analytics Forecasting 60

erwin

JANUARY 14, 2021

When the pandemic first hit, there was some negative impact on big data and analytics spending. Digital transformation was accelerated, and budgets for spending on big data and analytics increased. But data without intelligence is just data, and this is WHY data intelligence is required.

Digital Transformation 143

Digital Transformation Metadata Big Data Data-driven 143

Dataiku

MAY 20, 2024

Jensen was joined at the Toronto session of the 2023 Dataiku Everyday AI Conferences by Amy Korosi , VP of Data Enablement and Automation at Hudson’s Bay Company , Kelly Chambers , Business Intelligence Analyst at the Alberta Energy Regulator , and Herve Riboulet , Director of Cargo Analytics and CRM at Air Canada.

Data Science 81

Data Science Business Intelligence Data Enablement Analytics 81

DataKitchen

OCTOBER 2, 2023

Data Teams and Their Types of Data Journeys In the rapidly evolving landscape of data management and analytics, data teams face various challenges ranging from data ingestion to end-to-end observability. It explores why DataKitchen’s ‘Data Journeys’ capability can solve these challenges.

Data Quality 100

Data Quality Testing Uncertainty Data Enablement 100

Smart Data Collective

MAY 29, 2019

Big data and analytics can be used in a variety of ways in retail. For example, big data can be used to analyze customer behavior. The information which is gathered enables retailers to create a personalized experience for customers. Big data is helping gaming providers make better predictions. Transportation.

Big Data 112

Big Data Statistics Optimization Reporting 112

CIO Business Intelligence

MARCH 19, 2025

SpyClouds approach leverages holistic identity analytics , powered by the industrys largest collection of recaptured darknet data, to help organizations correlate disparate identity elements and shore up identity threat protection measures, while mitigating risk more effectively.

Risk 52

Risk Reporting Measurement Enterprise 52

datapine

JULY 17, 2019

Moreover, within just five years, the number of smart connected devices in the world will amount to more than 22 billion – all of which will produce colossal sets of collectible, curatable, and analyzable data, claimed IoT Analytics in their industry report. What does this mean? click to enlarge**.

KPI 223

KPI Reporting Key Performance Indicator Dashboards 223

Jet Global

MARCH 22, 2023

The value of embedded analytics is unmistakable. These costs are not always visible when companies plan for their analytics offering but can significantly impact production, scale, and the speed of bringing analytics to market. The challenge is collecting all that data into one place and making it understandable.

Analytics 52

Analytics Cost-Benefit Dashboards Visualization 52

DataKitchen

FEBRUARY 2, 2023

Central IT Data Teams focus on standards, compliance, and cost reduction. ’ They are data enabling vs. value delivery. Their software purchase behavior will align with enabling standards for line-of-business data teams who use various tools that act on data. We are heading into ‘data winter.’

Metadata 130

Metadata Testing Data Science Risk 130

Smart Data Collective

APRIL 5, 2021

Big data has become the lifeblood of small and large businesses alike, and it is influencing every aspect of digital innovation, including web development. What is Big Data? Big data can be defined as the large volume of structured or unstructured data that requires processing and analytics beyond traditional methods.

Big Data 137

Big Data Data-driven IT Sales 137

datapine

FEBRUARY 25, 2022

From automated reporting, predictive analytics, and interactive data visualizations, reporting on data has never been easier. Now, if you are just getting started with data analysis and business intelligence it is important that you are informed about the most efficient ways to manage your data. click to enlarge**.

Reporting 173

Reporting Dashboards Visualization Metrics 173

CIO Business Intelligence

OCTOBER 16, 2023

Predictive AI in a hybrid cloud environment The mainframe is a critical system of record for organizations, and its data is an invaluable source of insight for businesses. In order to operate most successfully, the mainframe must be modernized to integrate with the public and private cloud.

Forecasting 137

Forecasting Machine Learning Software Data-driven 137

CIO Business Intelligence

DECEMBER 18, 2023

Software is starting to run through everything from on-premises to remote services and enables automation, analytics, insights and cybersecurity. With so much choice and a variety of software-defined services, the challenge is bringing all the data together into a single, unified platform.

Software 119

Software Technology Digital Transformation Data-driven 119

IBM Big Data Hub

APRIL 18, 2023

Increased automation: ISO 20022 provides a more structured way of exchanging payment data, enabling greater automation and reducing the need for manual intervention, all of which help reduce errors and improve overall payment processing efficiency. Are your payment systems ready for these new opportunities?

Risk Management 110

Risk Management Cost-Benefit Risk Data-driven 110

Smart Data Collective

APRIL 14, 2023

It is one of the biggest reasons that the market for big data is projected to be worth $273 billion by 2026. Companies are finding more creative ways to employ data analytics to improve their business intelligence strategies. One of them is by using layered navigation.

Business Intelligence 110

Business Intelligence Strategy Data-driven Visualization 110

Cloudera

NOVEMBER 16, 2020

This requires a lot of data, a variety of data, and advanced analytic capabilities. Third-party data such as location, social media, obituaries, repair costs, and others help in faster identifying suspicious claims or applications.

Insurance 101

Insurance ROI Marketing Machine Learning 101

datapine

OCTOBER 7, 2020

They help in making the right decision: To ensure positive business results, data-enabled decisions are critical. What are key metrics in this case enabling – is an environment that focuses on making the right decision at the right time since they will present the data, and help you derive insights.

KPI 269

KPI Metrics Sales Visualization 269

CIO Business Intelligence

JUNE 23, 2022

Cloudera customers run some of the biggest data lakes on earth. These lakes power mission critical large scale data analytics, business intelligence (BI), and machine learning use cases, including enterprise data warehouses. Delta Lake added transaction support to the data in a lake. Iterations of the lakehouse.

Data Lake 98

Data Lake Data Warehouse Machine Learning Data-driven 98

Cloudera

NOVEMBER 2, 2021

Becoming a data-driven organization is not exactly getting any easier. Businesses are flooded with ever more data. Although it is true that more data enables more insight, the effort needed to separate the wheat from the chaff grows exponentially. Know how data is used. Know how you implement and prove compliance.

Data Governance 97

Data Governance Data-driven Data Processing Risk 97

Cloudera

DECEMBER 15, 2021

The Cloudera Enterprise Data Maturity Report is a global survey of 3,150 business and IT decision makers assessing organizations’ maturity when it comes to their current capabilities and handling of data and analytics. 95% of technical decision makers agree that data and analytics are essential for driving progress on DEI.

Data Strategy 84

Data Strategy Strategy Snapshot Data-driven 84

Cloudera

AUGUST 12, 2021

A more data driven approach also leads to greater transparency and meritocracy when new opportunities and promotions are based on performance rather than politics, ensuring that top-talent is nurtured and rewarded. Streamlining operations with advanced analytics to preempt issues. Data enables Innovation & Agility.

Data-driven 111

Data-driven Manufacturing Insurance Risk Management 111

Cloudera

JUNE 18, 2022

Cloudera customers run some of the biggest data lakes on earth. These lakes power mission critical large scale data analytics, business intelligence (BI), and machine learning use cases, including enterprise data warehouses. Data lakes and data warehouses unify large volumes and varieties of data into a central location.

Data Lake 94

Data Lake Data Warehouse Machine Learning Data-driven 94

Smart Data Collective

NOVEMBER 1, 2023

Data analytics offers a number of benefits for growing organizations. A highly productive team enables an organization to meet its goals and objectives. One of the biggest advantages is that it can bolster employee productivity.

Metrics 120

Metrics Measurement Data-driven Optimization 120

CIO Business Intelligence

JULY 5, 2022

When Marcus Ericsson, driving for Chip Ganassi Racing, won the Indianapolis 500 in May, it was in a car equipped with more than 140 sensors streaming data and predictive analytic insights, not only to the racing team but to fans at the Brickyard and around the world. That’s where the data and analytics come in.

Recreation/Entertainment 98

Recreation/Entertainment Predictive Analytics Data-driven Digital Transformation 98

CIO Business Intelligence

JULY 1, 2022

When Marcus Ericsson, driving for Chip Ganassi Racing, won the Indianapolis 500 in May, it was in a car equipped with more than 140 sensors streaming data and predictive analytic insights, not only to the racing team but to fans at the Brickyard and around the world. That’s where the data and analytics come in.

Recreation/Entertainment 98

Recreation/Entertainment Predictive Analytics Data-driven Digital Transformation 98

Cloudera

AUGUST 21, 2021

Cloudera’s customers in the financial services industry have realized greater business efficiencies and positive outcomes as they harness the value of their data to achieve growth across their organizations. Data enables better informed critical decisions, such as what new markets to expand in and how to do so.

Data-driven 103

Data-driven Digital Transformation Risk Risk Management 103

Cloudera

OCTOBER 28, 2021

I’ve had the pleasure to participate in a few Commercial Lines insurance industry events recently and as a prior Commercial Lines insurer myself, I am thrilled with the progress the industry is making using data and analytics. Commercial Lines truly is an “uber industry” with respect to data. Another example is fleet management.

Insurance 97

Insurance Risk Unstructured Data Data-driven 97