CIO Business Intelligence

JANUARY 20, 2023

But Kevin Young, senior data and analytics consultant at consulting firm SPR, says organizations can first share data by creating a data lake like Amazon S3 or Google Cloud Storage. Members across the organization can add their data to the lake for all departments to consume,” says Young.

Data Lake 135

Data Lake Data-driven Finance Data Architecture 135

CIO Business Intelligence

JULY 29, 2024

They also built an Azure-based data lake to provide global visibility of the company’s data to its 13,000-strong workforce. Digital transformation projects have always been about creating a data-driven business. Previously, each Mosaic location operated its own digital infrastructure.

Digital Transformation 118

Digital Transformation IT Data Lake Sales 118

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. They can no longer have “technology people” who work independently from “data people” who work independently from “sales” people or from “finance.”

Finance 145

Finance IoT Digital Transformation Sales 145

DataKitchen

AUGUST 27, 2021

Part of the data team’s job is to make sense of data from different sources and judge whether it is fit for purpose. Figure 3 shows various data sources and stakeholders for analytics, including forecasts, stocking, sales, physician, claims, payer promotion, finance and other reports. DataOps Success Story.

Analytics 246

Analytics Sales Testing Cost-Benefit 246

Data Virtualization

MARCH 28, 2024

As noted in the Gartner Hype Cycle for Finance Data and Analytics Governance, 2023, “Through. The post My Understanding of the Gartner® Hype Cycle™ for Finance Data and Analytics Governance, 2023 appeared first on Data Management Blog - Data Integration and Modern Data Management Articles, Analysis and Information.

Finance 69

Finance Digital Transformation Analytics Data Integration 69

CIO Business Intelligence

AUGUST 9, 2024

The original proof of concept was to have one data repository ingesting data from 11 sources, including flat files and data stored via APIs on premises and in the cloud, Pruitt says. There are a lot of variables that determine what should go into the data lake and what will probably stay on premise,” Pruitt says.

Data Transformation 126

Data Transformation Machine Learning Data Lake Dashboards 126

CIO Business Intelligence

OCTOBER 25, 2022

And they needed a place to store that data—they lacked infrastructure that could manage both the terabytes pouring off the sensors and the coupling customer data (which resided within enterprise platforms such as ERP, transportation, and supply & demand planning). So, they built a data-lake.

Data Strategy 145

Data Strategy Strategy Data Lake Data-driven 145

AWS Big Data

FEBRUARY 22, 2023

In this post, we show how Ruparupa implemented an incrementally updated data lake to get insights into their business using Amazon Simple Storage Service (Amazon S3), AWS Glue , Apache Hudi , and Amazon QuickSight. An AWS Glue ETL job, using the Apache Hudi connector, updates the S3 data lake hourly with incremental data.

Data Lake 52

Data Lake Dashboards Cost-Benefit Data Warehouse 52

AWS Big Data

JULY 3, 2023

Backtesting is a process used in quantitative finance to evaluate trading strategies using historical data. Amazon Simple Storage Service (Amazon S3) is a popular cloud-based object storage service that can be used as the foundation for building a data lake.

Snapshot 105

Snapshot Data Lake Testing Strategy 105

AWS Big Data

FEBRUARY 27, 2024

In the ever-evolving world of finance and lending, the need for real-time, reliable, and centralized data has become paramount. Bluestone , a leading financial institution, embarked on a transformative journey to modernize its data infrastructure and transition to a data-driven organization.

Data-driven 111

Data-driven Data Lake Data Quality Data Governance 111

AWS Big Data

JANUARY 24, 2024

AWS-powered data lakes, supported by the unmatched availability of Amazon Simple Storage Service (Amazon S3), can handle the scale, agility, and flexibility required to combine different data and analytics approaches. He is passionate about building products customers love and helping customers extract value from their data.

Snapshot 126

Snapshot Data Lake Metadata Optimization 126

AWS Big Data

JULY 2, 2024

Fine-grained access control is a crucial aspect of data security for modern data lakes and data warehouses. As organizations handle vast amounts of data across multiple data sources, the need to manage sensitive information has become increasingly important.

Sales 119

Sales Data Lake Publishing Data Warehouse 119

bridgei2i

SEPTEMBER 23, 2020

She further explains how the traditional BI systems which offers data visualization and building data lakes of structured and unstructured data, compliant with KPIs and analytics infrastructure may not be adequate to handle the data explosion. Monica holds a Master’s degree in Finance from Delhi University.

Enterprise 97

Enterprise Unstructured Data Data Lake Digital Transformation 97

CIO Business Intelligence

OCTOBER 25, 2023

From IT, to finance, marketing, engineering, and more, AI advances are causing enterprises to re-evaluate their traditional approaches to unlock the transformative potential of AI. Indeed, since June 2023, the finance sector has experienced continuous growth in these areas.

Enterprise 133

Enterprise Manufacturing Risk Data-driven 133

Jedox

DECEMBER 28, 2021

In other words, the Office of Finance will increase its collaboration with rest of the enterprise through new tools and more efficient processes that allow for better cross-departmental data management. When a measurable change occurs, Finance requires the ability to respond immediately. Collaboration.

Digital Transformation 97

Digital Transformation Finance Machine Learning Forecasting 97

AWS Big Data

DECEMBER 21, 2023

To bring their customers the best deals and user experience, smava follows the modern data architecture principles with a data lake as a scalable, durable data store and purpose-built data stores for analytical processing and data consumption.

Data Lake 115

Data Lake Data Warehouse Data-driven B2B 115

CIO Business Intelligence

MARCH 13, 2023

While banking and finance organizations have aggressively moved workloads and apps to the cloud to meet changing customer needs, some remain hesitant to tackle modernization of core infrastructure and systems, fearing a disruption to the business.

Finance 52

Finance Data-driven Data Lake Cost-Benefit 52

CIO Business Intelligence

NOVEMBER 29, 2023

In the future, we’ll connect all production and application servers to this and build our own data lake,” he says, adding that the next step will be to use AI there to learn from their own data. Only production software and machines that can’t have latency remain on site. We want to avoid that.”

IT 105

IT Data Lake Strategy IoT 105

CIO Business Intelligence

APRIL 8, 2025

Comparison of modern data architectures : Architecture Definition Strengths Weaknesses Best used when Data warehouse Centralized, structured and curated data repository. Inflexible schema, poor for unstructured or real-time data. Data lake Raw storage for all types of structured and unstructured data.

Data Quality 102

Data Quality Data-driven Key Performance Indicator Metadata 102

AWS Big Data

APRIL 8, 2024

This makes sure that IAM permissions on the table can coexist with newly granted Lake Formation permissions, without disrupting any existing workflows. However, the sales team wants to publish this table to Amazon DataZone to facilitate secure and governed data sharing with the finance team. Choose Subscribe.

Finance 107

Finance Sales Publishing Metadata 107

Cloudera

DECEMBER 9, 2021

To accomplish that, the company needed to resolve issues around outdated usage data, limited storage and processing capabilities, siloed operations, and a limited view of customers. . MTN leveraged a data lake powered by the EVA (Enterprise Value Analytics) platform and deployed Cloudera CDP to unify data access across its operations.

Data Lake 86

Data Lake Data-driven Machine Learning Finance 86

AWS Big Data

MARCH 21, 2024

The volume of data generated globally continues to surge, from gaming, retail, and finance, to manufacturing, healthcare, and travel. Organizations are looking for more ways to quickly use the constant inflow of data to innovate for their businesses and customers. You can use the same data to train ML models.

Data Lake 119

Data Lake Management Modeling Optimization 119

Jet Global

JANUARY 18, 2021

In the case of Microsoft Dynamics AX, that will mean a move to Microsoft Dynamics 365 Finance & Supply Chain Management (D365 F&SCM) , which is an evolution of the AX code line. With the move to Microsoft D365 F&SCM, customers should expect major changes to the way they access their data for reporting.

Data Lake 98

Data Lake Reporting Cost-Benefit Finance 98

CIO Business Intelligence

OCTOBER 19, 2022

Digital is sales, marketing, finance, legal, and operations — everything. CIOs are responsible for building an enterprise data and analytics capability, but they do not own data as a function. If that is the case, where should the data and analytics function sit?

IT 124

IT Data Warehouse Digital Transformation Risk 124

CIO Business Intelligence

JUNE 24, 2022

Kimberly-Cark’s move to RPA was very comprehensive, says Kumbhat, adding that automating supply chain and finance operations led to a savings of hundreds of millions of dollars. But for Kumbhat, it’s the business that drives the IT agenda, not the other way around.

Digital Transformation 126

Digital Transformation B2B Data-driven Data Lake 126

Jet Global

MAY 27, 2022

How Synapse works with Data Lakes and Warehouses. Synapse services, data lakes, and data warehouses are often discussed together. Here’s how they correlate: Data lake: An information repository that can be stored in a variety of different ways, typically in a raw format like SQL.

Data Lake 52

Data Lake IT Recreation/Entertainment Data Warehouse 52

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

Jet Global

OCTOBER 7, 2020

For organizations considering a move to Microsoft Dynamics 365 Finance & Supply Chain Management (D365 F&SCM), or for those in the early stages of an implementation project, defining a clear strategy for curating data is a key to developing a comprehensive approach to reporting and analytics. Financial Reporting Made Simple.

Data Warehouse 90

Data Warehouse OLAP Reporting Finance 90

CIO Business Intelligence

MARCH 20, 2023

It deployed the SAP Omnichannel Point-of-Sale application by GK, automating workflows and helping make finance and store staff more efficient by providing them with a unified, integrated solution. Data could also be shared automatically between the head office and individual stores, streamlining finance processes.

Digital Transformation 98

Digital Transformation Broadcasting Recreation/Entertainment Manufacturing 98

AWS Big Data

OCTOBER 23, 2023

Modern applications store massive amounts of data on Amazon Simple Storage Service (Amazon S3) data lakes, providing cost-effective and highly durable storage, and allowing you to run analytics and machine learning (ML) from your data lake to generate insights on your data.

Data Lake 124

Data Lake Visualization Optimization Interactive 124

CIO Business Intelligence

OCTOBER 4, 2023

At the lowest layer is the infrastructure, made up of databases and data lakes. Technological layers To make all these strategic areas flow as smoothly as possible, PayPal’s technology is organized into four main layers. These applications live on innumerable servers, yet some technology is hosted in the public cloud.

Digital Transformation 132

Digital Transformation Deep Learning Data Lake Risk 132

CIO Business Intelligence

MAY 16, 2024

His experience in logistics and analytics will also help Baldor improve workflows as he integrates more IoT devices into the company’s industrial operations and its private fleet of delivery trucks.

IoT 104

IoT Internet of Things Digital Transformation Sales 104

AWS Big Data

MARCH 27, 2023

Amazon Redshift Serverless makes it simple to run and scale analytics without having to manage your data warehouse infrastructure. Solution overview Let’s say that your company has two departments: marketing and finance. Each department has multiple cost centers and environments, as illustrated in the following figure.

Data Warehouse 98

Data Warehouse Management Snapshot Data Lake 98

Cloudera

JUNE 6, 2024

To keep pace as banking becomes increasingly digitized in Southeast Asia, OCBC was looking to utilize AI/ML to make more data-driven decisions to improve customer experience and mitigate risks. Lastly, data security is paramount, especially in the finance industry.

Contextual Data 83

Contextual Data Data Lake Data-driven Risk 83

CIO Business Intelligence

OCTOBER 2, 2024

According to Briski, this is an iterative process that involves a variety of tasks to get to the highest quality data — those signals that improve the accuracy of a model. And quality is relative to the context of the domain you’re in, so an accurate response for finance, for example, may be completely wrong for healthcare. “As

Management 141

Management Data Governance Cost-Benefit Structured Data 141

Cloudera

DECEMBER 14, 2022

Recognised for its financial strength and stability, OCBC Bank is consistently ranked among the World’s Top 50 Safest Banks by Global Finance. OCBC also won a Cloudera Data Impact Award 2022 in the Transformation category for the project. Real-time data analysis for better business and customer solutions.

Data Strategy 81

Data Strategy Strategy IT Contextual Data 81

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). Most of all, finance teams need increased visibility to inventory and the supply chain.

Reporting 98

Reporting Data Warehouse Finance Dashboards 98