IBM Big Data Hub

SEPTEMBER 19, 2023

Data analytics is a task that resides under the data science umbrella and is done to query, interpret and visualize datasets. Data scientists will often perform data analysis tasks to understand a dataset or evaluate outcomes. Those who work in the field of data science are known as data scientists.

Data Science 84

Data Science Data Analytics Prescriptive Analytics Analytics 84

Jedox

JANUARY 13, 2023

Finance leaders should look for these five capabilities when selecting financial planning software that will drive business value for their enterprise. Increasing efficiency in an organization’s planning, budgeting, and forecasting processes is a key component of financial planning software, according to Gartner. Data integration.

Software 52

Software Finance Forecasting Data Lake 52

AWS Big Data

MARCH 29, 2024

However, to analyze trends over time, aggregate from different dimensions, and share insights across the organization, a purpose-built business intelligence (BI) tool like Amazon QuickSight may be more effective for your business. Grafana provides powerful customizable dashboards to view pipeline health.

Metrics 111

Metrics Visualization Dashboards Interactive 111

CIO Business Intelligence

MARCH 14, 2024

For Italo, this IT-business dialog is based on a flexible IT infrastructure that includes numerous automation and AI components, and provides the necessary groundwork for business continuity.

Digital Transformation 92

Digital Transformation Sales Forecasting Data Lake 92

CIO Business Intelligence

FEBRUARY 16, 2023

Selling the value of data transformation Iyengar and his team are 18 months into a three- to five-year journey that started by building out the data layer — corralling data sources such as ERP, CRM, and legacy databases into data warehouses for structured data and data lakes for unstructured data.

Unstructured Data 105

Unstructured Data Data Lake Prescriptive Analytics Digital Transformation 105

CIO Business Intelligence

MARCH 10, 2023

Ventura points to examples like ingredient traceability and using machine learning (ML) to automate forecasting, which in turn helps the company minimize waste. Ventura believes co-creation and co-ownership of analytics and AI capabilities with the business function is essential to success.

Forecasting 105

Forecasting Machine Learning Data Lake Digital Transformation 105

CIO Business Intelligence

SEPTEMBER 8, 2022

“The enormous potential of real-time data not only gives businesses agility, increased productivity, optimized decision-making, and valuable insights, but also provides beneficial forecasts, customer insights, potential risks, and opportunities,” said Krumova. Business Intelligence

Cost-Benefit 122

Cost-Benefit Internet of Things Data-driven Data Lake 122

CIO Business Intelligence

DECEMBER 1, 2022

To date the company has moved 5,000 applications to Microsoft Azure as it applies predictive analytics , AI, robotics, and process automation in many of its business operations.

Digital Transformation 144

Digital Transformation IoT Data-driven KPI 144

FineReport

MARCH 24, 2024

Predictive analytics: Forecasting likely outcomes based on patterns and trends to facilitate proactive decision-making. Data analysts contribute value to organizations by uncovering trends, patterns, and insights through data gathering, cleaning, and statistical analysis. JPMorgan Chase & Co.:

Statistics 52

Statistics Data mining Visualization Reporting 52

CIO Business Intelligence

FEBRUARY 28, 2023

Unleashing the Potential of the Cloud through Ecosystem Building Cloud adoption is booming as enterprises identify technology as a key driver of business success. IDC forecasts global cloud spending to exceed US$1.3 Experts tout 2023 to be the year when new AI-powered tools and services make their presence felt across industries.

Digital Transformation 98

Digital Transformation Internet of Things Data Lake Enterprise 98

CIO Business Intelligence

JULY 18, 2022

Data is in constant flux, due to exponential growth, varied formats and structure, and the velocity at which it is being generated. Data is also highly distributed across centralized on-premises data warehouses, cloud-based data lakes, and long-standing mission-critical business systems such as for enterprise resource planning (ERP).

Cost-Benefit 96

Cost-Benefit Data Lake Data Warehouse Enterprise 96

CIO Business Intelligence

JANUARY 10, 2024

But while McMasters’ forecasts are now more accurate, he still likes to have a cushion: he gives himself a 10 to 20% margin when pre-booking capacity, he says. “Understand your licensing schemes and usage policies, which can be very complicated,” says McMasters. What exactly happens if you go over and what will they charge you?”

Cost-Benefit 124

Cost-Benefit Measurement Optimization Metrics 124

CIO Business Intelligence

OCTOBER 18, 2023

According to C3, sugar producer Pantaleon is using C3 Gen AI to supplement sales forecasting, while Georgia-Pacific is using it for manufacturing process knowledge. Lastly, we tapped into our data lake to enrich and tailor specific customer emails to drive the conviction of our products and ultimately increased sales.

Risk 141

Risk Manufacturing Enterprise Technology 141

CIO Business Intelligence

FEBRUARY 19, 2024

Al tempo stesso, il meccanismo predittivo dell’IA produce un forecast che mette in luce lo scostamento da quanto previsto e facilita le azioni correttive per rimediare, tutto in tempo quasi reale”.

IT 98

IT KPI Data Lake Digital Transformation 98

CIO Business Intelligence

MARCH 2, 2023

A catalyst to make this happen will be the ongoing improvements in AI-enabled data capture. Fast and accurate data extraction will speed up transactions and automation capabilities, and be the foundational technology within any business intelligence or data analytics platform, enabling better collaboration and B2B communications, he says.

Data Lake 143

Data Lake Forecasting B2B Optimization 143

CIO Business Intelligence

JUNE 29, 2022

If you’re used to using SQL Server Analysis Services for business intelligence, Analysis Services offers that enterprise-grade analytics engine as a cloud service that you can also connect to Power BI. Azure Data Lake Analytics. The reason Azure has so many analytics services is so you can build your entire stack there.

Data Lake 116

Data Lake Analytics Data Warehouse Machine Learning 116

CIO Business Intelligence

DECEMBER 21, 2022

Every day, organizations of every description are deluged with data from a variety of sources, and attempting to make sense of it all can be overwhelming. So a strong business intelligence (BI) strategy can help organize the flow and ensure business users have access to actionable business insights. “By

IT 131

IT Business Intelligence Sales Key Performance Indicator 131

CIO Business Intelligence

MAY 24, 2022

Unlocking the value of data with in-depth advanced analytics, focusing on providing drill-through business insights. Providing a platform for fact-based and actionable management reporting, algorithmic forecasting and digital dashboarding. analyse the data, using business intelligence, visualisation or data science tools.

Data-driven 98

Data-driven Data Lake Data Warehouse Cost-Benefit 98

AWS Big Data

MARCH 17, 2023

TalentReef used Amazon QuickSight with the intent of replacing their legacy business intelligence (BI) reporting. QuickSight features such as forecasts, cross-sheet filtering, and the ability to drill into underlying data allows customers to quickly see the value through different lenses.

Dashboards 52

Dashboards IT Data Lake Visualization 52

AWS Big Data

JULY 13, 2023

This post discusses the journey that took Altron from their initial goals, to technical implementation, to the business value created from understanding their customers and their unique opportunities better. Foundations for a data lake with data governance controls and data quality checks.

Optimization 93

Optimization B2B Data Quality Sales 93

IBM Big Data Hub

DECEMBER 7, 2023

Slice-and-dice analysis : OLAP allows users to slice and dice data along various dimensions, isolating specific segments for in-depth analysis. Improved decision-making Strategic planning and forecasting : OLAP helps businesses identify trends, patterns and potential risks, enabling better strategic planning and forecasting.

OLAP 63

OLAP Slice and Dice Cost-Benefit Data Warehouse 63

BizAcuity

APRIL 14, 2022

Be it supply chain resilience, staff management, trend identification, budget planning, risk and fraud management, big data increases efficiency by making data-driven predictions and forecasts. With adequate market intelligence, big data analytics can be used for unearthing scope for product improvement or innovation.

Big Data 52

Big Data Data Analytics Management Unstructured Data 52

datapine

AUGUST 29, 2022

The new edition also explores artificial intelligence in more detail, covering topics such as Data Lakes and Data Sharing practices. 6) Lean Analytics: Use Data to Build a Better Startup Faster, by Alistair Croll and Benjamin Yoskovitz. An excerpt from a rave review: “The Freakonomics of big data.”.

Big Data 263

Big Data Data Analytics Analytics Data mining 263

Jet Global

OCTOBER 22, 2020

Microsoft’s launch of the Power BI platform several years ago marked the company’s entrance into an important space within the business applications market. As the Microsoft Dynamics ERP products transition to a cloud-first model, Microsoft has positioned Power BI as the future of business intelligence for its Dynamics family of products.

Modeling 52

Modeling OLAP Reporting Sales 52

Alation

MARCH 21, 2023

As an industry with tight margins, travel and tourism companies can use analytics to detect trends that help them reduce costs, decide future product and service offerings, and develop successful business strategies. Using Alation, ARC automated the data curation and cataloging process. “So

Data Analytics 52

Data Analytics Analytics Data-driven Big Data 52

IBM Big Data Hub

OCTOBER 12, 2023

To optimize data analytics and AI workloads, organizations need a data store built on an open data lakehouse architecture. This type of architecture combines the performance and usability of a data warehouse with the flexibility and scalability of a data lake. Learn more about IBM watsonx 1.

Cost-Benefit 83

Cost-Benefit Metadata Data Governance Modeling 83

Sisense

MAY 11, 2021

The reasons for this are simple: Before you can start analyzing data, huge datasets like data lakes must be modeled or transformed to be usable. According to a recent survey conducted by IDC , 43% of respondents were drawing intelligence from 10 to 30 data sources in 2020, with a jump to 64% in 2021! Dig into AI.

Modeling 84

Modeling Big Data IoT Data Warehouse 84

Jet Global

MAY 9, 2024

Data pipelines are designed to automate the flow of data, enabling efficient and reliable data movement for various purposes, such as data analytics, reporting, or integration with other systems. This can include tasks such as data ingestion, cleansing, filtering, aggregation, or standardization.

Data Lake 52

Data Lake Data Warehouse Business Intelligence Machine Learning 52

Jet Global

NOVEMBER 21, 2023

Continued global digitalization is creating huge quantities of data for modern organizations. To have any hope of generating value from growing data sets, enterprise organizations must turn to the latest technology. Since then, technology has improved in leaps and bounds and data management has become more complicated.

Data Lake 52

Data Lake Data Warehouse Reporting Enterprise 52

Jet Global

FEBRUARY 23, 2024

Data warehouse architecture extracts data from existing databases, transforms it using specified rules, and loads it into a central repository for easy access and control, providing a foundation for business intelligence and analytics. Data warehouses can be complex, time-consuming, and expensive.

Data Warehouse 52

Data Warehouse Reporting Data Transformation Sales 52

Jet Global

SEPTEMBER 19, 2023

What are the best practices for analyzing cloud ERP data? Data Management How do we create a data warehouse or data lake in the cloud using our cloud ERP? How do I access the legacy data from my previous ERP? Self-service BI How can we rapidly build BI reports on cloud ERP data without any help from IT?

Cost-Benefit 52

Cost-Benefit Data Warehouse Reporting Enterprise 52

Jet Global

SEPTEMBER 30, 2022

What are the best practices for analyzing cloud ERP data? Data Management. How do we create a data warehouse or data lake in the cloud using our cloud ERP? How do I access the legacy data from my previous ERP? How can we rapidly build BI reports on cloud ERP data without any help from IT?

Reporting 52

Reporting Data Warehouse Operational Reporting Enterprise 52