datapine

MAY 2, 2023

Your Chance: Want to test a professional logistics analytics software? 10 Essential Big Data Use Cases in Logistics Now that you’re up to speed on the perks of investing in analytics, let’s look at some practical examples that highlight the growing importance of data in logistics, based on different business scenarios.

Big Data 275

Big Data Cost-Benefit Internet of Things Optimization 275

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

IBM Big Data Hub

DECEMBER 20, 2023

AWS, Google Cloud Services, IBM Cloud, Microsoft Azure) makes computing resources—like ready-to-use software applications, virtual machines (VMs) , enterprise-grade infrastructures and development platforms—available to users over the public internet.

Strategy 96

Strategy Cost-Benefit Digital Transformation Optimization 96

Cloudera

AUGUST 16, 2023

Our goal was to create a more competency-based approach and more comprehensive tools and support to help partners guide their customers adopting modern data strategies based on the Cloudera hybrid data platform. It’s always been crucial for us to enable customers to do more with their data. That goal hasn’t changed.

Sales 65

Sales Insurance Manufacturing Data Strategy 65

FineReport

APRIL 21, 2024

Defining Business Intelligence and SaaS Business Intelligence (BI) encompasses the technologies and strategies used for data analysis and decision-making within organizations. On the other hand, Software as a Service (SaaS) refers to cloud-based bi software solutions that offer on-demand access to applications over the Internet.

Business Intelligence 52

Business Intelligence Visualization Dashboards Data-driven 52

erwin

MAY 18, 2022

Immediate access within searches to data literacy aids such as data lineage, mind maps, impact analysis and data quality scores received strong validation as to the value it will provide to engage business users more easily and drive adoption of the software. It was more than the software that led me to Quest.

Data Quality 52

Data Quality Metadata Data Governance Software 52

DataKitchen

JANUARY 3, 2022

Business analytic teams have ongoing deliverables – a dashboard, a PowerPoint, or a model that they refresh and renew. They are less oriented toward delivering customer value and more focused on servicing their internal process or internal software development lifecycle. The work product could be a chart, graph, model or dashboard.

Business Analytics 245

Business Analytics Analytics Testing Dashboards 245

Cloudera

OCTOBER 19, 2023

Large 5G networks will host tens of millions of connected devices (somewhere in the 1,000x capacity compared to 4G), each instrumented to generate telemetry data, giving telcos the ability to model and simulate operations at a level of detail previously impossible.

Data-driven 75

Data-driven Data Architecture Predictive Modeling Digital Transformation 75

DataKitchen

JUNE 24, 2021

In May 2021 at the CDO & Data Leaders Global Summit, DataKitchen sat down with the following data leaders to learn how to use DataOps to drive agility and business value. Kurt Zimmer, Head of Data Engineering for Data Enablement at AstraZeneca. Jim Tyo, Chief Data Officer, Invesco.

ROI 211

ROI Metrics Measurement Cost-Benefit 211

IBM Big Data Hub

APRIL 4, 2024

These include connecting different systems and software to streamline processes and improve data flow across the organization, for example human resource management (HRM) or customer relationship management (CRM) Human-centric BPM centers around human involvement, often where an approval process is required.

Management 55

Management Cost-Benefit Metrics Consulting 55

Jet Global

APRIL 8, 2024

Manual processes make integrating actual results into forecasting models cumbersome and error prone. Empowering Finance Teams: How EPM Software Solves Data Challenges While data silos and manual processes create significant bottlenecks, a powerful solution exists: Enterprise Performance Management (EPM) software.

Reporting 52

Reporting Management Finance Forecasting 52

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 73

Machine Learning Manufacturing Cost-Benefit Deep Learning 73

BI-Survey

FEBRUARY 14, 2022

The time-consuming consolidation of this data from a variety of source systems not only involves plenty of effort, but also delays its provision. As a result, the use of data from multiple sources is by far the main cause of many of the challenges mentioned above. Modern software for better integration and stronger automation.

Forecasting 52

Forecasting Uncertainty Measurement Software 52

Jet Global

APRIL 3, 2024

Cloud-based solutions can automate tasks such as data collection, reconciliation, and reporting. Real-time Visibility and Insights : Cloud applications offer real-time access to financial data, enabling informed decision-making.

Reporting 52

Reporting Cost-Benefit Software Forecasting 52

Ontotext

AUGUST 4, 2023

After all, when businesses lack domain context, and unified semantics hinder data usage within the organization, a data fabric approach can be a game-changer. Major goals of data fabric include: Create smart semantic data integration and engineering: with governed access to improve findability and comprehensibility of data.

Metadata 52

Metadata Data-driven Data Architecture Data Quality 52

Jet Global

MARCH 24, 2024

They can easily share financial data and reports, discuss tax implications of financial decisions, and ensure alignment on tax planning strategies. EPM tools often include scenario analysis capabilities that allow finance teams to model different financial scenarios. Scenario Analysis. Enhancing C-Level Reporting.

Finance 52

Finance Reporting Forecasting Dashboards 52

Cloudera

AUGUST 3, 2021

Advanced analytics and enterprise data empower companies to not only have a completely transparent view of movement of materials and products within their line of sight, but also leverage data from their suppliers to have a holistic view 2-3 tiers deep in the supply chain. Keep data lineage secure and governed.

Analytics 109

Analytics Digital Transformation Forecasting Risk 109

datapine

OCTOBER 7, 2020

Try our professional reporting software for 14 days, completely free! They help in making the right decision: To ensure positive business results, data-enabled decisions are critical. Try our professional reporting software for 14 days, completely free! How To Select Operational Metrics And KPIs?

KPI 269

KPI Metrics Sales Visualization 269

Jet Global

OCTOBER 24, 2023

This gives decision-makers access to current data for financial and operational reporting, reducing decision-making based on outdated information. Faster decision-making: Real-time data enables faster decision-making, allowing organizations to respond quickly to ever-changing market conditions. It has no impact on performance.

Reporting 52

Reporting Operational Reporting Finance Enterprise 52

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

CIO Business Intelligence

APRIL 15, 2022

Derek Driggs, a machine learning researcher at the University of Cambridge, together with his colleagues, published a paper in Nature Machine Intelligence that explored the use of deep learning models for diagnosing the virus. In 2014, Amazon started working on AI-powered recruiting software to do just that.

Analytics 144

Analytics Machine Learning Insurance Testing 144

Ontotext

MAY 5, 2023

These two key data elements are used in approximately 80% of the use cases in the sector. It is reused in modeling the publication of entity data or regulatory-mandated data exchange, as seen in the example provided below. FIBO represents such a common vocabulary.

Data Collection 64

Data Collection Risk Data-driven Interactive 64

DataKitchen

FEBRUARY 21, 2023

“Because adding more data engineers in response to increasing data requests is not a sustainable solution, organizations must start investing in DataOps practices to streamline and scale data delivery processes.” This is the equivalent advice for data teams provided to software teams in the classic “Mythical Man Month.”

Data-driven 130

Data-driven Testing Risk Cost-Benefit 130

AWS Big Data

NOVEMBER 29, 2023

These announcements drive forward the AWS Zero-ETL vision to unify all your data, enabling you to better maximize the value of your data with comprehensive analytics and ML capabilities, and innovate faster with secure data collaboration within and across organizations.

Data Warehouse 103

Data Warehouse Data Lake Analytics Machine Learning 103

Laminar Security

DECEMBER 22, 2023

The cost of cloud storage: breaking down the numbers Cloud storage operates on a pay-as-you-use model, which appears cost-effective at first glance. However, when businesses fail to monitor and manage their data effectively, costs can escalate quickly. Enter Laminar, an agile cloud-native data security platform.

Cost-Benefit 95

Cost-Benefit Risk Optimization Risk Management 95

AWS Big Data

MAY 4, 2023

It allows for efficient data storage and transmission, as well as easy manipulation of the data using specialized software. The amount of data and the number of power plants they need to collect data are rapidly increasing over time. Younggu Yun works at AWS Data Lab in Korea.

Data-driven 52

Data-driven Technology Cost-Benefit Machine Learning 52

FineReport

MARCH 5, 2024

This article delves into these inquiries through the exploration of several compelling data visualization examples. Subsequently, we will introduce the finest visualization software to aid you in crafting superior visualized data. However, how can we effectively incorporate interaction into visualizations?

Visualization 52

Visualization Interactive Dashboards Reporting 52

Sisense

DECEMBER 11, 2019

Quoting Keystone Research, he opened with the finding that: Companies who use data effectively have 18% higher gross margins and 4% higher operating margins Keystone Research. And he demonstrated how the Periscope Data platform overcomes the challenges of huge data volumes that can’t be easily modeled by traditional BI.

Data Lake 80

Data Lake Big Data Sales Data-driven 80

FineReport

APRIL 24, 2024

With features such as natural language querying and advanced AI capabilities, Bold Power BI empowers users to derive actionable insights from their data effortlessly. Furthermore, FineReport stands out as a popular choice for its associative data model , which facilitates the dynamic exploration of data relationships.

Visualization 52

Visualization Dashboards Interactive Key Performance Indicator 52

erwin

APRIL 18, 2019

Map data flows: Identify where to integrate data and track how it moves and transforms. Govern data: Develop a governance model to manage standards and policies and set best practices. Socialize data: Enable all stakeholders to see data in one place in their own context. A Regulatory EDGE.

Data Governance 81

Data Governance Metadata Data-driven Data Collection 81

Alation

FEBRUARY 20, 2020

And, now she sees a need to make data more accessible: For EA professionals, relying on people and manual processes to provision, manage, and govern data simply does not scale. Alation Named a Leader in Machine Learning Data Catalogs. By doubling down on our distinctive business and profit model. A New Market Category.

Machine Learning 52

Machine Learning Marketing Reporting ROI 52

Smart Data Collective

AUGUST 14, 2019

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. The field of big data is going to have massive implications for healthcare in the future. Big Data is Driving Massive Changes in Healthcare.

Big Data 78

Big Data Data Analytics Analytics Internet of Things 78

AWS Big Data

MARCH 27, 2024

This means you can seamlessly combine information such as clinical data stored in HealthLake with data stored in operational databases such as a patient relationship management system, together with data produced from wearable devices in near real-time.

Data Analytics 93

Data Analytics Analytics Data Warehouse Data Lake 93

Jet Global

SEPTEMBER 26, 2023

PvT: There are people in finance who work too hard and that means they’re not very productive because they spend a lot of time on data-gathering instead of analyzing data. I think the difference-maker is the development of new tools, the software that has just dramatically changed the role of finance.

Marketing 52

Marketing Finance Reporting Operational Reporting 52

Sisense

OCTOBER 6, 2020

As quantitative data is always numeric, it’s relatively straightforward to put it in order, manage it, analyze it, visualize it, and do calculations with it. Spreadsheet software like Excel, Google Sheets, or traditional database management systems all mainly deal with quantitative data.

Statistics 98

Statistics Unstructured Data Data-driven Visualization 98

Grooper

AUGUST 19, 2019

Connect the Dots Between Data Literacy, ISL, and the Requirements List. Data literacy is solved by a structured program of learning information as a second language (ISL). ISL eliminates data literacy by modeling the way we learn spoken language. These requirements include fluency in: Analytical models.

Analytics 54

Analytics Machine Learning Data Science Data-driven 54

Andrew White

JANUARY 11, 2021

This was for the Chief Data Officer, or head of data and analytics. Gartner also published the same piece of research for other roles, such as Application and Software Engineering. Where does the Data Architect role fits in the Operational Model ? This would be part of a Data Literacy program. Fusion teams.

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52