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

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 111

Risk Management Cost-Benefit Risk Data-driven 111

IBM Big Data Hub

FEBRUARY 5, 2024

Using a hybrid AI or machine learning (ML) model, you can train it on enterprise and published data, including newly acquired assets and sites. Through interactive dialog, it can generate visual analytics and promptly deliver content to your team.

Optimization 91

Optimization Management Key Performance Indicator Modeling 91

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

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 87

Data Strategy Strategy Snapshot Data-driven 87

CIO Business Intelligence

MAY 8, 2024

AI-powered data integration One of the most promising advancements in data integration is the integration of artificial intelligence (AI) and machine learning (ML) technologies. AI-powered data integration tools leverage advanced algorithms and predictive analytics to automate and streamline the data integration process.

Data Integration 102

Data Integration IoT Cost-Benefit Data Quality 102

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 Cost-Benefit 98

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 96

Data Lake Data Warehouse Machine Learning Cost-Benefit 96

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 ROI Prescriptive Analytics 250

FineReport

APRIL 9, 2024

The pivotal role of healthcare BI tools lies in advancing clinical business intelligence, enabling healthcare providers to harness the power of data for informed decision-making and enhanced patient care. By integrating advanced analytics solutions, healthcare organizations can elevate their capacity for data-driven decision-making.

Digital Transformation 52

Digital Transformation Business Intelligence Data-driven Visualization 52

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 82

Business Intelligence Strategy Data-driven Visualization 82

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

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 Digital Transformation Data-driven 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 Digital Transformation Data-driven 98

FineReport

APRIL 21, 2024

Why SaaS BI Tools Matter The Shift to Cloud-Based Data Analysis The global market for SaaS-based Business Intelligence is experiencing significant growth, driven by factors such as cost-effectiveness, scalability, and real-time data access.

Business Intelligence 52

Business Intelligence Visualization Dashboards Data-driven 52

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 86

Metrics Measurement Data-driven Optimization 86

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 110

Big Data Statistics Optimization Reporting 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 104

Insurance ROI Marketing Machine Learning 104

Cloudera

JANUARY 13, 2021

UOB’s 12-week foundational learning and development programme — “Better U” —underscores its focus on ensuring digital proficiency and data analytics skills. Engaging employees in a digital journey is something Cloudera applauds, as being truly data-driven often requires a shift in the mindset of an entire organisation.

Digital Transformation 57

Digital Transformation Data-driven Data Lake Big Data 57

IBM Big Data Hub

JANUARY 29, 2024

Automation will play a pivotal role in transforming the data center, where scale and complexity will outpace the ability of humans to keep everything running smoothly. For you as a business leader, this means pivoting from manual methods to a more streamlined, technology-driven and data-enabled approach.

Data-driven 65

Data-driven Optimization Consulting Machine Learning 65

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 100

Insurance Risk Unstructured Data Data-driven 100

DataKitchen

FEBRUARY 21, 2023

Productivity does not come through the fingers of each data engineer; it comes from building a system around those engineers that allows them to run production with minimal errors and move things into production quickly, with low risk, so they can focus on making their customers successful. Build components that are idempotent on data.

Data-driven 130

Data-driven Testing Risk Cost-Benefit 130

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 92

Data Analytics Analytics Data Warehouse Data Lake 92

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 Interactive 173

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

AWS Big Data

MARCH 25, 2024

Streaming data facilitates the constant flow of diverse and up-to-date information, enhancing the models’ ability to adapt and generate more accurate, contextually relevant outputs. OpenSearch Service provides support for native ingestion from Kinesis data streams or MSK topics.

Data Lake 91

Data Lake Unstructured Data Management Modeling 91

CIO Business Intelligence

APRIL 15, 2022

Organizations across every industry have been and continue to invest heavily in data and analytics. But like oil, data and analytics have their dark side. Here are a handful of high-profile analytics and AI blunders from the past decade to illustrate what can go wrong. Target analytics violated privacy.

Analytics 145

Analytics Machine Learning Insurance Testing 145

Sisense

JANUARY 13, 2020

In Moving Parts , we explore the unique data and analytics challenges manufacturing companies face every day. The world of data in modern manufacturing. The challenge for manufacturers is to capture all this data in real-time and use it effectively. Take our customer, BraunAbility , for example.

Manufacturing 52

Manufacturing Data Lake Big Data Data Warehouse 52

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 107

Big Data IT Data-driven Sales 107

Ontotext

AUGUST 17, 2023

Graph technologies refer to a different way of storing and analyzing data that enables answering questions from data that were previously impossible. It’s the foundational technology that connects the dots across the data, enabling us to do all those other things we want to be able to do to drive insight.

Digital Transformation 52

Digital Transformation IT Cost-Benefit Consulting 52

IBM Big Data Hub

SEPTEMBER 12, 2023

Automation streamlines the root-cause analysis process with machine learning algorithms, anomaly detection techniques and predictive analytics, and it helps identify patterns and anomalies that human operators might miss. Automation, once set up, can operate continuously and efficiently without incurring additional human resource expenses.

Data-driven 65

Data-driven Cost-Benefit Predictive Analytics Machine Learning 65

CIO Business Intelligence

MAY 4, 2022

They pooled their expertise to come up with data-enabled services leveraging the breadth of FedEx’s international digital and logistics network with Microsoft’s advanced cloud computing technology. . Drilling down for data-driven projections.

Recreation/Entertainment 98

Recreation/Entertainment Data-driven Marketing Testing 98

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 101

Data Warehouse Data Lake Analytics Machine Learning 101

Alation

JULY 26, 2021

Back then, our focus was three-fold, focused on: Taking inventory of our data assets, Building out a more formal data governance program , and. Promoting self-service analytics. At this time, I worked in the Data Enablement Team and my primary focus was data catalog adoption and training.

Insurance 98

Insurance Digital Transformation Enterprise Data Governance 98

Jet Global

OCTOBER 8, 2020

Tip 3: Make decisions with operational data. Data analytics are essential to supporting business decisions and, as companies seek to understand the status of their inventories, supply chains, and customer orders during the current period of uncertainty, operational data is now firmly at the forefront of decision-making.

Finance 98

Finance Reporting Forecasting Metrics 98

Sisense

OCTOBER 6, 2020

The challenge comes when the data becomes huge and fast-changing. Why is quantitative data important? Quantitative data is often viewed as the bedrock of your business intelligence and analytics program because it can reveal valuable insights for your organization.

Statistics 98

Statistics Unstructured Data Data-driven Visualization 98

datapine

SEPTEMBER 11, 2019

Digital data, by its very nature, paints a clear, concise, and panoramic picture of a number of vital areas of business performance, offering a window of insight that often leads to creating an enhanced business intelligence strategy and, ultimately, an ongoing commercial success. billion , growing at a CAGR of 26.98% from 2016.

Business Intelligence 161

Business Intelligence Analytics Sales Dashboards 161