DataKitchen

NOVEMBER 4, 2021

Data organizations often have a mix of centralized and decentralized activity. DataOps concerns itself with the complex flow of data across teams, data centers and organizational boundaries. It expands beyond tools and data architecture and views the data organization from the perspective of its processes and workflows.

Data Processing 246

Data Processing Data Lake Cost-Benefit Testing 246

IBM Big Data Hub

NOVEMBER 2, 2022

Organizations are managing and analyzing large datasets every day, but many still need the right tools to generate data-driven insights. Even more, organizations need the ability to bring data insights to the right users to make faster, more effective business decisions amid unpredictable market changes.

Data-driven 60

Data-driven Business Analytics Analytics Forecasting 60

DataKitchen

JANUARY 3, 2022

Data tables from IT and other data sources require a large amount of repetitive, manual work to be used in analytics. The data analytics function in large enterprises is generally distributed across departments and roles. Figure 1: Data analytics challenge – distributed teams must deliver value in collaboration.

Business Analytics 245

Business Analytics Analytics Testing Dashboards 245

erwin

JANUARY 14, 2021

These surveys helped IDC develop a model that describes the five stages of enterprise recovery , aligning business focus with the economic situation: When the COVID-19 crisis hit, organizations focused on business continuity. When we enter into the next normal, the future enterprise will emerge.

Digital Transformation 143

Digital Transformation Metadata Big Data Data-driven 143

CIO Business Intelligence

OCTOBER 16, 2023

All forward-thinking businesses are toying with or have already invested in AI — from boutique startups to enterprise conglomerates. It leverages techniques to learn patterns and distributions from existing data and generate new samples. AI is taking the world by storm.

Forecasting 137

Forecasting Machine Learning Software Data-driven 137

Smart Data Collective

APRIL 14, 2023

Big data technology has had a number of important benefits for businesses in all industries. One of the biggest advantages is that big data helps companies utilize business intelligence. It is one of the biggest reasons that the market for big data is projected to be worth $273 billion by 2026.

Business Intelligence 110

Business Intelligence Strategy Data-driven Visualization 110

CIO Business Intelligence

APRIL 29, 2022

These principles provide a particular direction for the reasoning and execution of all activities of an enterprise towards data-first. Data-first because anything, whether a human, a machine, or a thing, is constantly generating data in an era in which computing and connectivity are ubiquitous. Sovereignty.

Recreation/Entertainment 122

Recreation/Entertainment Digital Transformation Data-driven Enterprise 122

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 3, 2021

In summary, predicting future supply chain demands using last year’s data, just doesn’t work. Accurate demand forecasting can’t rely upon last year’s data based upon dated consumer preferences, lifestyle and demand patterns that just don’t exist today – the world has changed. Leveraging data where it lies.

Analytics 111

Analytics Digital Transformation Forecasting Risk 111

CIO Business Intelligence

DECEMBER 10, 2024

To harness its full potential, it is essential to cultivate a data-driven culture that permeates every level of your company. Their role is crucial in assisting businesses in improving customer experiences and creating new revenue streams through AI-driven innovations. Our company is not alone in adopting an AI mindset.

Strategy 105

Strategy Data-driven Cost-Benefit Machine Learning 105

Smart Data Collective

OCTOBER 17, 2022

Businesses are producing more data year after year, but the number of locations where it is kept is increasing dramatically. This proliferation of data and the methods we use to safeguard it is accompanied by market changes — economic, technical, and alterations in customer behavior and marketing strategies , to mention a few.

Big Data 119

Big Data Data-driven Recreation/Entertainment Data Governance 119

CIO Business Intelligence

MAY 4, 2022

Further, the company is also transforming its organizational culture to become a more data-driven enterprise by integrating data science applications with supply chains and decision cycles. . Doing more with insights-driven logistics. Drilling down for data-driven projections.

Recreation/Entertainment 98

Recreation/Entertainment Data-driven Marketing Testing 98

erwin

JANUARY 23, 2025

Companies are leaning into delivering on data intelligence and governance initiatives in 2025 according to our recent State of Data Intelligence research. Data intelligence software is continuously evolving to enable organizations to efficiently and effectively advance new data initiatives.

Metadata 52

Metadata Data Quality Data Governance Software 52

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. Data governance: three steps to success.

Data Governance 97

Data Governance Data-driven Data Processing Risk 97

IBM Big Data Hub

FEBRUARY 5, 2024

These foundation models, built on large language models, are trained on vast amounts of unstructured and external data. They can generate responses like text and images, while simultaneously interpreting and manipulating existing data. They require job plans and work instructions for asset failures and repairs.

Optimization 89

Optimization Management Key Performance Indicator Data-driven 89

erwin

APRIL 18, 2019

California Consumer Privacy Act (CCPA) compliance shares many of the same requirements in the European Unions’ General Data Protection Regulation (GDPR). Data governance , thankfully, provides a framework for compliance with either or both – in addition to other regulatory mandates your organization may be subject to.

Data Governance 81

Data Governance Metadata Data Collection Data-driven 81

CIO Business Intelligence

JANUARY 30, 2024

The foundation for ESG reporting, of course, is data. Always the gatekeepers of much of the data necessary for ESG reporting, CIOs are finding that companies are even more dependent on them,” says Nancy Mentesana, ESG executive director at Labrador US, a global communications firm focused on corporate disclosure documents.

Reporting 115

Reporting Data Quality Strategy Data-driven 115

CIO Business Intelligence

MAY 8, 2024

In the age of big data, where information is generated at an unprecedented rate, the ability to integrate and manage diverse data sources has become a critical business imperative. Traditional data integration methods are often cumbersome, time-consuming, and unable to keep up with the rapidly evolving data landscape.

Data Integration 102

Data Integration IoT Cost-Benefit Machine Learning 102

AWS Big Data

NOVEMBER 29, 2023

In 2013, Amazon Web Services revolutionized the data warehousing industry by launching Amazon Redshift , the first fully-managed, petabyte-scale, enterprise-grade cloud data warehouse. Amazon Redshift made it simple and cost-effective to efficiently analyze large volumes of data using existing business intelligence tools.

Data Warehouse 127

Data Warehouse Analytics Data Lake Machine Learning 127

BI-Survey

FEBRUARY 17, 2020

Data is everywhere. With the growing interconnectedness of people, companies and devices, we are now accumulating increasing amounts of data from a growing variety of channels. New data (or combinations of data) enable innovative use cases and assist in optimizing internal processes.

Data Governance 89

Data Governance Data Warehouse Data Quality Data Strategy 89

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. On data warehouses and data lakes. Iterations of the lakehouse.

Data Lake 98

Data Lake Data Warehouse Machine Learning Data-driven 98

Smart Data Collective

APRIL 15, 2020

Big data is streamlining the web design process. Companies have started leveraging big data tools to create higher quality designs, personalize content and ensure their websites are resilient against cyberattacks. Last summer, Big Data Analytics News discussed the benefits of using big data in web design.

Big Data 115

Big Data Machine Learning Cost-Benefit Advertising 115

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. On data warehouses and data lakes. Iterations of the lakehouse.

Data Lake 94

Data Lake Data Warehouse Machine Learning Data-driven 94

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. A Long, Long Time Ago.

Insurance 97

Insurance Risk Unstructured Data Data-driven 97

Jet Global

OCTOBER 8, 2020

Most operational finance activities are driven by the month end and ledger close, typically involving a web of steps including transaction processing, reconciliation, journal entry capture, and financial statement preparation. Tip 3: Make decisions with operational data. Tip 1: Overcoming month-end inefficiencies.

Finance 98

Finance Reporting Forecasting Uncertainty 98

Cloudera

JANUARY 13, 2021

At Cloudera, an example of this leap is our first virtual Data Impact Awards , which was held in November last year. . One of our stand out moments of the awards was the introduction of the “Data Impact Achievement Award”. As an organisation, UOB has proven its fundamental understanding that the future is data-driven.

Digital Transformation 56

Digital Transformation Data-driven Data Lake Big Data 56

IBM Big Data Hub

SEPTEMBER 12, 2023

The notion that you can create an observable system without observability-driven automation is a myth because it underestimates the vital role observability-driven automation plays in modern IT operations. Why is this a myth? Reduced human error: Manual observation introduces a higher risk of human error.

Data-driven 63

Data-driven Cost-Benefit Predictive Analytics Machine Learning 63

Sisense

DECEMBER 11, 2019

With data growing at a staggering rate, managing and structuring it is vital to your survival. In this piece, we detail the Israeli debut of Periscope Data. Driving startup growth with the power of data. Driving startup growth with the power of data. The rise of the data team: from startup to unicorn.

Data Lake 80

Data Lake Big Data Sales Data-driven 80

IBM Big Data Hub

AUGUST 11, 2023

If you are experiencing inefficiencies, bottlenecks, quality control challenges or compliance issues in your production processes, an MES can provide real-time data and performance analysis across production lines to identify and address these issues promptly. Adequate training for your team members is crucial for successful adoption.

Software 68

Software Manufacturing Internet of Things Cost-Benefit 68

IBM Big Data Hub

JUNE 14, 2023

Evolving technologies and an increasingly globalized and digitalized marketplace have driven manufacturers to adopt smart manufacturing technologies to maintain competitiveness and profitability. These features use data from multiple machines simultaneously, automate processes and provide manufacturers more sophisticated analyses.

Manufacturing 71

Manufacturing Technology Internet of Things Cost-Benefit 71

Ontotext

AUGUST 17, 2023

These failures are at least partly due to the absence of graph technologies, at the center of those transformations, allowing companies to “connect the dots” across their data to drive optimal outcomes. More critically, they will continue to struggle becoming more data-driven within their organizations, missing out on value opportunities.

Digital Transformation 52

Digital Transformation IT Cost-Benefit Data-driven 52

FineReport

APRIL 21, 2024

Introduction to the World of SaaS BI Tools In today’s data-driven business landscape, SaaS BI tools have emerged as indispensable assets for companies seeking to harness the power of data. Additionally, there is a growing demand for advanced analytics and data visualization tools to make data-driven decisions.

Business Intelligence 52

Business Intelligence Visualization Dashboards Data-driven 52

FineReport

APRIL 9, 2024

Understanding Healthcare BI Tools The Role of Healthcare BI Tools Healthcare BI tools are instrumental in revolutionizing decision-making processes and patient care through the utilization of advanced data analysis and technology.

Digital Transformation 52

Digital Transformation Business Intelligence Data-driven Visualization 52

IBM Big Data Hub

JULY 10, 2023

Hybrid cloud enables businesses worldwide to promote data security and accessibility for various projects and analysis. However, managing multiple hybrid clouds can be a complex endeavor, especially considering the evolving nature of enterprise requirements and the sheer number of applications in enterprise portfolios today.

IT 50

IT Metrics Cost-Benefit Data-driven 50

AWS Big Data

MARCH 25, 2024

FMs are multimodal; they work with different data types such as text, video, audio, and images. Large language models (LLMs) are a type of FM and are pre-trained on vast amounts of text data and typically have application uses such as text generation, intelligent chatbots, or summarization.

Data Lake 119

Data Lake Unstructured Data Management Snapshot 119

Ontotext

MAY 5, 2023

Knowledge Representation In the context of the Financial Services Industry domain, the most popular examples of such data are entity (Who?) These two key data elements are used in approximately 80% of the use cases in the sector. Integrating reporting to move to a more streamlined, efficient approach to data collection.

Data Collection 64

Data Collection Risk Data-driven Interactive 64

IBM Big Data Hub

DECEMBER 7, 2023

Online analytical processing (OLAP) database systems and artificial intelligence (AI) complement each other and can help enhance data analysis and decision-making when used in tandem. Early OLAP systems were separate, specialized databases with unique data storage structures and query languages.

OLAP 57

OLAP Slice and Dice Cost-Benefit Data Warehouse 57