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 115

Data Warehouse Data Lake Dashboards Data Integration 115

Jedox

MAY 20, 2021

The problems caused by data silos are clear: sales and operations planning takes too long, plans are inaccurate, not very up-to-date, and difficult to adapt. Controllers from Finance and other departments as well as supply chain managers are doing themselves as well as the organization a favor in fixing the silo problem.

Sales 96

Sales Forecasting Manufacturing Finance 96

FineReport

JULY 16, 2021

When we talk about business intelligence system, it normally includes the following components: data warehouse BI software Users with appropriate analytical. Data analysis and processing can be carried out while ensuring the correctness of data. Data Warehouse. Data Analysis. Features of BI systems.

Business Intelligence 98

Business Intelligence Informatics Data Warehouse Data mining 98

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 Data Warehouse 105

datapine

FEBRUARY 22, 2022

IT should be involved to ensure governance, knowledge transfer, data integrity, and the actual implementation. This should also include creating a plan for data storage services. Are the data sources going to remain disparate? Or does building a data warehouse make sense for your organization?

Business Intelligence 218

Business Intelligence Strategy Cost-Benefit Dashboards 218

erwin

FEBRUARY 19, 2021

It harvests metadata from various data sources and maps any data element from source to target and harmonize data integration across platforms. With this accurate picture of your metadata landscape, you can accelerate Big Data deployments, Data Vaults, data warehouse modernization, cloud migration, etc.

Metadata 110

Metadata Management Data Quality Cost-Benefit 110

Jet Global

MAY 27, 2022

Synapse services are powerful tools for bringing data together for analytics, machine learning, reporting needs, and more. How Synapse works with Data Lakes and Warehouses. Synapse services, data lakes, and data warehouses are often discussed together.

Data Lake 52

Data Lake IT Recreation/Entertainment Data Warehouse 52

AWS Big Data

JUNE 6, 2023

We are excited to announce the General Availability of AWS Glue Data Quality. Our journey started by working backward from our customers who create, manage, and operate data lakes and data warehouses for analytics and machine learning. Brian Ross is a Senior Software Development Manager at AWS.

Data Quality 98

Data Quality Statistics Data Lake Visualization 98

Jet Global

JUNE 2, 2024

If that’s the case, then Atlas for Microsoft Dynamics just might be the Swiss army knife of Microsoft Dynamics data: Atlas solves data integration, operational reporting, and data upload challenges all in one easy-to-use package. Not only that, it does so simply. Atlas’ superiority is immediately evident.

Data Warehouse 40

Data Warehouse Operational Reporting Finance Dashboards 40

Jedox

MARCH 11, 2021

A data silo typically consists of stored data that is not available to the entire organization, but only to some parts of it, such as departments, teams, or even individual employees, and is thus siloed within the organization. They are contrary to the approach of a data warehouse. Why data silos are a problem.

Sales 80

Sales Optimization Data Warehouse Digital Transformation 80

Jet Global

MAY 1, 2020

We can almost guarantee you different results from each, and you end up with no data integrity whatsoever. The mechanical solution is to build a data warehouse. This is because people won’t use BI applications that are founded on irrelevant, incomplete, or questionable data. Risk to the business. guess what?

Data Warehouse 64

Data Warehouse Data Quality Risk Reporting 64

Octopai

JUNE 1, 2020

Data mapping is the cornerstone of many important business intelligence processes: Data Integration – Even if systems are compatible, combining two disparate data repositories still requires meticulous data mapping. Correct data mapping facilitates the creation of usable, searchable data warehouses.

Metadata 52

Metadata Data Warehouse Data Integration Finance 52

Jet Global

MARCH 25, 2020

According to a recent survey by the Hackett Group, 90 percent of finance respondents rated improving enterprise data and analytics capabilities as highly important or even critical. But how can finance departments provide this kind of information at speed? Financial reporting on JD Edwards data covers a lot of ground.

Reporting 45

Reporting Finance Sales Visualization 45

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 76

Cost-Benefit Metadata Data Governance Optimization 76

Jet Global

FEBRUARY 25, 2025

Data Cleaning The terms data cleansing and data cleaning are often used interchangeably, but they have subtle differences: Data cleaning refers to the broader process of preparing data for analysis by removing errors and inconsistencies. Lets take a closer look at just how expensive dirty data can be.

Cost-Benefit 52

Cost-Benefit Data Collection Finance Reporting 52

FineReport

MAY 31, 2023

A financial dashboard, one of the most important types of data dashboards , functions as a business intelligence tool that enables finance and accounting teams to visually represent, monitor, and present financial key performance indicators (KPIs). What is A Financial Dashboard?

Dashboards 52

Dashboards Key Performance Indicator Metrics Visualization 52

AWS Big Data

FEBRUARY 22, 2023

Data analytic challenges As an ecommerce company, Ruparupa produces a lot of data from their ecommerce website, their inventory systems, and distribution and finance applications. The data can be structured data from existing systems, and can also be unstructured or semi-structured data from their customer interactions.

Data Lake 52

Data Lake Dashboards Cost-Benefit Data Warehouse 52

Data Virtualization

MAY 13, 2022

Reading Time: 3 minutes Join our conversation on All Things Data with Robin Tandon, Director of Product Marketing at Denodo (EMEA & LATAM), with a focus on how data virtualization helps customers realize true economic benefits in as little as six weeks.

Data Integration 52

Data Integration Marketing Management Data Warehouse 52

Alation

DECEMBER 15, 2022

March 2015: Alation emerges from stealth mode to launch the first official data catalog to empower people in enterprises to easily find, understand, govern and use data for informed decision making that supports the business. May 2016: Alation named a Gartner Cool Vendor in their Data Integration and Data Quality, 2016 report.

Metadata 52

Metadata Data Governance Data Quality Marketing 52

FineReport

APRIL 3, 2024

Key components of well-designed dashboards include: Data Source Connections: BI dashboards connect to diverse data sources, including data warehouses, data marts, operational systems, and external feeds, ensuring comprehensive analytics insights. Security and Compliance: Data security is paramount.

Dashboards 52

Dashboards Visualization Metrics Interactive 52

Domino Data Lab

APRIL 3, 2019

The longer answer is that in the context of machine learning use cases, strong assumptions about data integrity lead to brittle solutions overall. 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.

Machine Learning 84

Machine Learning Data Governance Metadata Data Science 84

CIO Business Intelligence

APRIL 9, 2025

This capability has become increasingly more critical as organizations incorporate more unstructured data into their data warehouses. We are seeing evolve with Agentic AI solutions from SAP, Salesforce and Microsoft to name but a few that will move beyond data as insight to data as action.

Enterprise 102

Enterprise Analytics Experimentation Statistics 102

Jet Global

JANUARY 14, 2025

From recessions to booms and everything between, the finance landscape has changed immensely since the turn of the century. However, due to factors like insufficient use cases, lack of necessary technical skills, low-quality data, and a general reluctance to embrace new technology, the finance industry has been slow to adopt AI.

Finance 52

Finance Reporting Cost-Benefit Software 52

Jet Global

OCTOBER 28, 2024

Although Oracle E-Business Suite (EBS) provides a centralized hub for financial data, the manual process of exporting data into spreadsheets is both time-consuming and prone to errors, forcing finance teams to spend considerable time verifying numbers. How do you ensure greater efficiency and accuracy for your financial reports?

Reporting 52

Reporting Finance Recreation/Entertainment Data-driven 52

Jet Global

OCTOBER 1, 2024

Finance professionals often stick to proven methods, understanding that disrupting established systems can jeopardize time-sensitive financial processes. How do you embrace finance transformation without downtime or a steep learning curve? Here, we discuss three ways to smoothly transform your finance strategy.

Finance 52

Finance Strategy Reporting Optimization 52

Jet Global

NOVEMBER 14, 2024

By focusing on system and data alignment and equipping Oracle-powered finance teams with autonomous, efficient tools, organizations can smooth the transition and keep disruptions to a minimum. Maintain a Single Source of Truth Ensuring data integrity is of utmost importance during migration.

Reporting 52

Reporting Finance Operational Reporting Management 52

Jet Global

JULY 31, 2022

Recent global crises have permanently changed the face of finance. Still adapting to a rapidly changing market, organizations are striving to embed data processes that can help guide them through these uncertain times. In the wake of these changes, the finance function has transitioned to a more forward-looking approach as well.

Finance 52

Finance Forecasting Operational Reporting Reporting 52

Jet Global

AUGUST 3, 2022

ESG reporting is rapidly becoming a key focus area for finance teams around the world. First, it will prepare finance teams for a situation that many see as inevitable. Δ The post Sustainability Reporting: A Modern Finance Imperative appeared first on insightsoftware. ESG stands for “environmental, social, and governance.”

Finance 52

Finance Reporting Metrics Software 52

Jet Global

APRIL 26, 2022

Today’s finance teams are under more pressure than ever before. Finance is responsible for knowing where their business stands today, and also for mapping out the road ahead. Finance departments must guide their organizations into the future, even as the ground continues to shift beneath their feet.

Finance 52

Finance Reporting Uncertainty Software 52

Jet Global

AUGUST 12, 2022

As the strategic role of finance teams continues to evolve, the Office of the CFO faces many new responsibilities. Resource allocation, however, does not always grow in tandem with those responsibilities, leading to scalability challenges for finance teams tasked with doing more with fewer resources. Here’s what the research revealed.

Finance 52

Finance Reporting Operational Reporting Forecasting 52

Jet Global

SEPTEMBER 1, 2023

SAP Central Finance is the KEY S/4HANA Deployment Option Are you still undecided on your path to move to S/4HANA? If so, consider this question: Why not use SAP Central Finance to start your move, and leverage prebuilt integration products from insightsoftware to simplify and accelerate your journey?

Finance 52

Finance Reporting Cost-Benefit Software 52

Jet Global

MAY 25, 2023

Wands for Oracle Tips & Tricks: Save Time with Quick and Easy Reconciliation Download Now Better Insights from More Accurate Data During the discussion, we touched on which metrics finance leaders should be focusing on and how they can inform strategic decision making. How insightsoftware is using cookies.

Finance 52

Finance Technology Reporting Metrics 52

Jet Global

MARCH 24, 2024

To build a flourishing ecosystem that seamlessly connects your tax department to finance and wider company, you need to make sure all aspects of your process are functioning to the best of their ability. These integrated tools can facilitate collaboration between finance and tax teams. Streamlined Reporting Processes.

Finance 52

Finance Forecasting Reporting Dashboards 52

Jet Global

DECEMBER 2, 2022

Disruption is the name of the game, and for finance leaders to stay competitive in this turbulent new era, they’ll need a clear vision for how to move forward. Cloud-compatible reporting tools will allow finance teams to shrink reporting cycles and deliver faster results. Timely Business Insights Will Be Ever More Important.

Finance 52

Finance Reporting Forecasting Sales 52

Jet Global

JULY 6, 2022

Δ The post Data Discovery: From Finance to Healthcare appeared first on insightsoftware. Cookies are required to submit forms on this website. Enable cookies. How insightsoftware is using cookies. Still experiencing an issue? Please contact our website administration team. Δ

Finance 52

Finance Reporting Sales Software 52

Jet Global

MAY 9, 2024

The key components of a data pipeline are typically: Data Sources : The origin of the data, such as a relational database , data warehouse, data lake , file, API, or other data store. 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

JUNE 17, 2021

Another challenge with the previous approach was that reporting was only completed once a year, and it was difficult for the finance team and the wider business to monitor or predict how the final transfer pricing picture would materialize. Managing Data Integrity. Time Savings, Better Data Accuracy, and Increased Transparency.

Risk 98

Risk Recreation/Entertainment Forecasting Manufacturing 98