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 the pandemic first hit, there was some negative impact on big data and analytics spending.

Digital Transformation 143

Digital Transformation Metadata Big Data Data-driven 143

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 121

Recreation/Entertainment Digital Transformation Data-driven Enterprise 121

IBM Big Data Hub

APRIL 18, 2023

ISO 20022 is a global standard for financial messaging that aims to standardize electronic data interchange between financial institutions. It provides a structured way of exchanging data for financial transactions, including payments, securities and trade services. Real-Time Payments and Wire Transfer).

Risk Management 114

Risk Management Cost-Benefit Risk Data-driven 114

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

AWS Big Data

MARCH 25, 2024

Foundation models (FMs) are large machine learning (ML) models trained on a broad spectrum of unlabeled and generalized datasets. This scale and general-purpose adaptability are what makes FMs different from traditional ML models. FMs are multimodal; they work with different data types such as text, video, audio, and images.

Data Lake 94

Data Lake Unstructured Data Management Modeling 94

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. Improve Visibility within Supply Chains.

Analytics 107

Analytics Digital Transformation Risk Forecasting 107

Cloudera

OCTOBER 19, 2023

Telecommunications companies are currently executing on ambitious digital transformation, network transformation, and AI-driven automation efforts. The Opportunity of 5G For telcos, the shift to 5G poses a set of related challenges and opportunities.

Data-driven 73

Data-driven Data Architecture Predictive Modeling Digital Transformation 73

Sisense

OCTOBER 6, 2020

Digging into quantitative data Why is quantitative data important What are the problems with quantitative data Exploring qualitative data Qualitative data benefits Getting the most from qualitative data Better together. Almost every modern organization is now a data-generating machine. or “how often?”

Statistics 98

Statistics Unstructured Data Data-driven Visualization 98

datapine

OCTOBER 7, 2020

Using data in today’s businesses is crucial to evaluate success and gather insights needed for a sustainable company. By establishing clear operational metrics and evaluate performance, companies have the advantage of using what is crucial to stay competitive in the market, and that’s data. Top 12 Operational Metrics Examples.

KPI 269

KPI Metrics Sales Visualization 269

Smart Data Collective

FEBRUARY 25, 2021

New machine learning and data analytics tools have made it easier to understand their buying decisions and optimize your funnels, both through your offline and online marketing channels. They are highly knowledgeable about AI, so can help make it a core part of your business model.

Software 62

Software Machine Learning Marketing Technology 62

Cloudera

AUGUST 21, 2021

The same study also stated that having stronger online data security, being able to conduct more banking transactions online and having more real-time problem resolution were the top priorities of consumers. . Financial institutions need a data management platform that can keep pace with their digital transformation efforts.

Data-driven 98

Data-driven Digital Transformation Risk Risk Management 98

CIO Business Intelligence

DECEMBER 18, 2023

Technology Solutions’ dominant model revolved around hardware products. While this model is not diminishing, new cloud-based software technologies are changing business needs and competitive realities are giving rise to alternative technology solutions business models.

Software 116

Software Technology Digital Transformation Data-driven 116

Cloudera

SEPTEMBER 12, 2018

It’s a big week for us, as many Clouderans descend on New York for the Strata Data Conference. The week is typically filled with exciting announcements from Cloudera and many partners and others in the data management, machine learning and analytics industry. Congratulations and high fives to every organization that submitted entries.

Machine Learning 45

Machine Learning Big Data Data Science Data Warehouse 45

DataKitchen

NOVEMBER 29, 2021

DataOps adoption continues to expand as a perfect storm of social, economic, and technological factors drive enterprises to invest in process-driven innovation. Many in the data industry recognize the serious impact of AI bias and seek to take active steps to mitigate it. Data Gets Meshier. Companies Commit to Remote.

Testing 245

Testing Data Lake Data Architecture Manufacturing 245

IBM Big Data Hub

OCTOBER 20, 2023

Artificial intelligence platforms enable individuals to create, evaluate, implement and update machine learning (ML) and deep learning models in a more scalable way. AI platform tools enable knowledge workers to analyze data, formulate predictions and execute tasks with greater speed and precision than they can manually.

Machine Learning 75

Machine Learning Manufacturing Cost-Benefit Deep Learning 75

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 104

Big Data Data-driven Recreation/Entertainment Data Governance 104

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 104

Data Warehouse Data Lake Analytics Machine Learning 104

CIO Business Intelligence

APRIL 15, 2022

In 2017, The Economist declared that data, rather than oil, had become the world’s most valuable resource. 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. The refrain has been repeated ever since.

Analytics 145

Analytics Machine Learning Insurance Testing 145

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

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-driven Data Collection 81

FineReport

APRIL 24, 2024

What is Data Visualization Understanding the Concept Data visualization, in simple terms, refers to the presentation of data in a visual format. By utilizing visual elements, data visualization allows individuals to grasp difficult concepts or identify new patterns within the data.

Visualization 52

Visualization Dashboards Interactive Key Performance Indicator 52

IBM Big Data Hub

JULY 10, 2023

Hybrid cloud enables businesses worldwide to promote data security and accessibility for various projects and analysis. A mix of institutional knowledge, legacy applications, data and analytics form the backbone of many organizations’ IT operations, however when a single component falls out of harmony, the entire system can fail.

IT 52

IT Metrics Cost-Benefit Data-driven 52

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 60

OLAP Slice and Dice Cost-Benefit Data Warehouse 60

Grooper

AUGUST 19, 2019

Read on to learn how data literacy, information as a second language, and insight-driven analytics take digital strategy to a new level. C-level executives and professionals alike must learn to speak a new language - data. The benefit of speaking data, a.k.a. Increasing data literacy is the answer.

Analytics 54

Analytics Machine Learning Data Science Data-driven 54

AWS Big Data

SEPTEMBER 29, 2023

In today’s digital age, data is at the heart of every organization’s success. One of the most commonly used formats for exchanging data is XML. Analyzing XML files can help organizations gain insights into their data, allowing them to make better decisions and improve their operations. xml and technique2.xml.

Metadata 67

Metadata Visualization Data-driven Optimization 67

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 is Driving Massive Changes in Healthcare. Big data capturing.

Big Data 78

Big Data Data Analytics Analytics Internet of Things 78

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

JANUARY 9, 2024

These applications are designed to meet specific business needs by integrating proprietary data and help to ensure more accurate and relevant responses. This trend signals a move toward more efficient and personalized AI-driven business solutions. This synergy enhances productivity and cost-efficiency.

Data-driven 104

Data-driven Risk Modeling Marketing 104

Ontotext

AUGUST 4, 2023

Generating actionable insights across growing data volumes and disconnected data silos is becoming increasingly challenging for organizations. Working across data islands leads to siloed thinking and the inability to implement critical business initiatives such as Customer, Product, or Asset 360. Data Fabric: Who and What?

Metadata 52

Metadata Data-driven Data Architecture Data Quality 52

Alation

JUNE 1, 2023

So it’s fitting that Snowflake Summit , the premier event for data cloud strategy, will occur at Caesars Forum in Las Vegas on June 26–29 (togas not required). As a 2-time Snowflake Data Governance Partner of the Year , Alation knows how important this event is to the Snowflake community. The data governance team’s solution?

Metadata 52

Metadata Data Governance Data-driven Recreation/Entertainment 52

Alation

FEBRUARY 20, 2020

Data catalogs are here to stay. This week, two independent analyst reports validated what we’ve known for years – data catalogs are critical for self-service analytics.[1]. The Forrester Wave : Machine Learning Data Catalogs, Q2 2018. This is Forrester’s inaugural Wave on data catalogs. A New Market Category.

Machine Learning 52

Machine Learning Marketing Reporting ROI 52

erwin

JULY 17, 2019

Part Two of the Digital Transformation Journey … In our last blog on driving digital transformation , we explored how enterprise architecture (EA) and business process (BP) modeling are pivotal factors in a viable digital transformation strategy. Constructing A Digital Transformation Strategy: Data Enablement.

Digital Transformation 98

Digital Transformation Strategy Metadata Data-driven 98

Andrew White

JANUARY 11, 2021

It was titled, The Gartner 2021 Leadership Vision for Data & Analytics Leaders. This was for the Chief Data Officer, or head of data and analytics. The fill report is here: Leadership Vision for 2021: Data and Analytics. Which industry, sector moves fast and successful with data-driven?

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52

CIO Business Intelligence

NOVEMBER 14, 2022

Analytics have evolved dramatically over the past several years as organizations strive to unleash the power of data to benefit the business. Break down internal data silos to create boundaryless innovation while enabling greater collaboration with partners outside of their own organization.

Analytics 108

Analytics Machine Learning Testing Data Strategy 108

Jet Global

MAY 9, 2024

A data pipeline is a series of processes that move raw data from one or more sources to one or more destinations, often transforming and processing the data along the way. Data pipelines support data science and business intelligence projects by providing data engineers with high-quality, consistent, and easily accessible data.

Data Lake 52

Data Lake Data Warehouse Business Intelligence Machine Learning 52

Jet Global

APRIL 8, 2024

In today’s data-driven business environment, the finance team plays a critical role in transforming raw data into actionable insights that inform strategic decision-making. Furthermore, basing your budgets and forecasts on inaccurate or incongruent data from silos can have a detrimental impact on decision-making.

Reporting 52

Reporting Management Finance Forecasting 52