IBM Big Data Hub

OCTOBER 16, 2023

Positive curation means adding items from certain domains, such as finance, legal and regulatory, cybersecurity, and sustainability, that are important for enterprise users. It also lets you choose the right engine for the right workload at the right cost, potentially reducing your data warehouse costs by optimizing workloads.

Risk 73

Risk Modeling Management Metadata 73

Jedox

OCTOBER 22, 2020

Historical data compatibility with the current environment (>20 years data). The goal in addressing these pain points is to empower your stakeholders (both within Finance/FP&A and your business partners) to be able to deliver: Consistent reporting and dashboards. Limited internal resources. Self-service reporting.

Data Analytics 69

Data Analytics Analytics Unstructured Data Data mining 69

Cloudera

MAY 15, 2019

He is a successful architect of healthcare data warehouses, clinical and business intelligence tools, big data ecosystems, and a health information exchange. The Enterprise Data Cloud – A Healthcare Perspective.

Enterprise 47

Enterprise Data Lake Data mining IoT 47

CIO Business Intelligence

APRIL 22, 2024

Per esempio, “i PoC aiutano a definire i parametri in base ai quali organizzare i data lake o i criteri per la digitalizzazione dei workflow. Non è così in tutti i settori e in tutte le imprese: per esempio, nel finance e nelle utility l’attenzione dei dirigenti tende ad essere alta e, di conseguenza, lo è il budget.

Data Lake 105

Data Lake Testing Management IoT 105

CIO Business Intelligence

SEPTEMBER 21, 2023

With a pre-trained model, you can bring it into HR, finance, IT, customer service—all of us are touched by it.” To make all this possible, the data had to be collected, processed, and fed into the systems that needed it in a reliable, efficient, scalable, and secure way. All of PwC’s clients are having this discussion, he says.

Enterprise 130

Enterprise Consulting Modeling Cost-Benefit 130

FineReport

APRIL 11, 2023

In today’s fast-paced business environment, making informed decisions based on accurate and up-to-date information is crucial for achieving success. With the advent of Business Intelligence Dashboard (BI Dashboard), access to information is no longer limited to IT departments.

Dashboards 40

Dashboards Business Intelligence Cost-Benefit Metrics 40

Jet Global

MAY 27, 2022

Synapse services serve the purpose of merging data integration, warehousing, and big data analysis together with the goal of gaining a unified experience to ingest, prepare, manage, and serve data for business intelligence needs. How Synapse works with Data Lakes and Warehouses.

Data Lake 52

Data Lake IT Recreation/Entertainment Data Warehouse 52

CIO Business Intelligence

APRIL 4, 2023

Let’s look at the data architecture journey to understand why and how data lakehouses help to solve complexity, value and security. Traditionally, data warehouses have stored curated, structured data to support analytics and business intelligence, with fast, easy access to data.

Data Architecture 52

Data Architecture Data Lake Data Warehouse Cost-Benefit 52

AWS Big Data

NOVEMBER 29, 2023

It’s data that is the key to moving from generic applications to generative AI applications that create real value for your customers and your business. With Amazon Bedrock , you can privately customize FMs for your specific use case using a small set of your own labeled data through a visual interface without writing any code.

Data Warehouse 110

Data Warehouse Data Lake Data Integration Dashboards 110

Jet Global

JANUARY 5, 2021

Most customers running Microsoft Dynamics AX are acutely aware that at some point in the future, they will need to make the leap to Microsoft Dynamics 365 Finance & Supply Chain Management (D365 F&SCM). Business leaders should be clear about the risks before going ahead with a full-stack Power BI implementation.

Reporting 98

Reporting Data Warehouse Finance Cost-Benefit 98

CIO Business Intelligence

OCTOBER 19, 2022

Regardless of whether you have digital in your title or not, as CIO, you have significant accountability for creating a digital business, but you do not own digital the way you own IT. Digital is sales, marketing, finance, legal, and operations — everything. If that is the case, where should the data and analytics function sit?

IT 124

IT Digital Transformation Data Warehouse Risk 124

Domino Data Lab

APRIL 3, 2019

Most of the data management moved to back-end servers, e.g., databases. So we had three tiers providing a separation of concerns: presentation, logic, data. Note that data warehouse (DW) and business intelligence (BI) practices both emerged circa 1990. in lieu of simply landing in a data lake.

Data Governance 84

Data Governance Machine Learning Metadata Big Data 84

CIO Business Intelligence

SEPTEMBER 21, 2022

As noted on Tech Target , data silos create a number of headaches for organisations and often make maintaining compliance more difficult: Incomplete data sets , which hinder efforts to build data warehouses and data lakes for business intelligence and analytics applications.

Risk 105

Risk Data Lake Marketing Interactive 105

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

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.

Cost-Benefit 79

Cost-Benefit Metadata Data Governance Modeling 79

Peter James Thomas

MAY 3, 2019

The flip side is that making the necessary investments to provide even basic information has been at the heart of the successful business turnarounds that I have been involved in. The bulk of Business Intelligence efforts would also fall into this area, but there is some overlap with the area I next describe as well.

Strategy 55

Strategy Data Architecture Data Quality Data Strategy 55

Cloudera

JULY 9, 2018

Since the 1960s, technology has disrupted business through the advent of computing and information management. These systems replaced highly manual operations such as record keeping, finance, and reporting. Companies that didn’t adopt technology were soon out of business or in decline. The Solution.

Machine Learning 42

Machine Learning Data Science Testing Visualization 42

AWS Big Data

DECEMBER 21, 2023

To speed up the self-service analytics and foster innovation based on data, a solution was needed to provide ways to allow any team to create data products on their own in a decentralized manner. To create and manage the data products, smava uses Amazon Redshift , a cloud data warehouse.

Data Lake 92

Data Lake Data Warehouse Data-driven B2B 92

CIO Business Intelligence

AUGUST 3, 2022

In today’s data economy, in which software and analytics have emerged as the key drivers of business, CEOs must rethink the silos and hierarchies that fueled the businesses of the past. Instead, they must helm organizations in which every employee embraces data and technology as integral to what they do.

Finance 145

Finance IoT Digital Transformation Sales 145

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

FEBRUARY 23, 2024

This includes cleaning, aggregating, enriching, and restructuring data to fit the desired format. Load : Once data transformation is complete, the transformed data is loaded into the target system, such as a data warehouse, database, or another application.

Data Warehouse 52

Data Warehouse Reporting Data Transformation Sales 52

Jet Global

NOVEMBER 21, 2023

To have any hope of generating value from growing data sets, enterprise organizations must turn to the latest technology. You’ve heard of data warehouses, and probable data lakes, but now, the data lakehouse is emerging as the new corporate buzzword. To address this, the data lakehouse was born.

Data Lake 52

Data Lake Data Warehouse Reporting Enterprise 52

Jet Global

SEPTEMBER 19, 2023

Finance teams, like yours, are expected to offer meaningful input on cloud investments. Data Access What insights can we derive from our cloud ERP? 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?

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