CIO Business Intelligence

FEBRUARY 12, 2024

“Il digitale è riconosciuto come forte leva di business”, conferma Alessandra Luksch, Direttore dell’Osservatorio Digital Transformation Academy e dell’Osservatorio Startup Thinking del Politecnico di Milano, che dal 2016 mappa i trend della spesa ICT delle organizzazioni in Italia.

Digital Transformation 98

Digital Transformation Management Business Intelligence Internet of Things 98

Jedox

JANUARY 13, 2023

Now finance teams are looking for more efficient and flexible planning that encourages a “total company mindset,” according to the Gartner 2022 Critical Capabilities for Financial Planning Software report. 1 As planning solutions evolve to meet this demand, finance leaders must consider which capabilities best fit their organization’s needs.

Software 52

Software Finance Forecasting Data Lake 52

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

CIO Business Intelligence

APRIL 25, 2024

At a minimum, your DIY cloud cost optimization team will require an enterprise architect who understands the technology, says Garcia, who also recommends a financial developer or somebody with financial and data science experience. You can then start building data lakes and models around your data.

Management 124

Management Optimization Strategy Enterprise 124

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

SEPTEMBER 8, 2022

To access data in real time — and ensure that it provides actionable insights for all stakeholders — organizations should invest in the foundational components that enable more efficient, scalable, and secure data collection, processing, and analysis. Business Intelligence

Cost-Benefit 122

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

CIO Business Intelligence

SEPTEMBER 6, 2022

As a result, Pimblett now runs the organization’s data warehouse, analytics, and business intelligence. Establishing a clear and unified approach to data. Very has come full circle as a business built on catalog data, but it took some introspection in order to figure out the best way to get there.

IT 98

IT Forecasting Data Lake Enterprise 98

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

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

AUGUST 2, 2023

With the first two layers, the business is the driver with IT in a support role, but with the data governance and architecture layer, IT and the business are side by side, working through complex decisions about governance and architecture together. These aren’t typically business discussions; it’s largely IT.

Manufacturing 98

Manufacturing Data Architecture Strategy Data Strategy 98

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

CIO Business Intelligence

MARCH 14, 2024

This improves business performance by protecting against potential revenue loss and ensuring a better customer experience, which is also critical to customer retention and acquisition. Flexible, automated IT also provides an added benefit in connecting technology and business.

Digital Transformation 92

Digital Transformation Sales Forecasting Data Lake 92

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 76

Risk Modeling Management Metadata 76

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

MARCH 13, 2024

Mentre nella business intelligence la persona decide prima quale sarà la relazione causa-effetto tra i dati e la decisione finale, quindi, la si può considerare al cento per cento spiegabile, nell’IA la decisione è solo parzialmente informata, perché non si riesce a controllare del tutto la relazione causa-effetto.

Machine Learning 105

Machine Learning Deep Learning Big Data Testing 105

IBM Big Data Hub

FEBRUARY 2, 2023

In today’s world, data warehouses are a critical component of any organization’s technology ecosystem. They provide the backbone for a range of use cases such as business intelligence (BI) reporting, dashboarding, and machine-learning (ML)-based predictive analytics, that enable faster decision making and insights.

Data Warehouse 57

Data Warehouse Cost-Benefit Unstructured Data Data Architecture 57

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

FineReport

MARCH 24, 2024

Data analysts contribute value to organizations by uncovering trends, patterns, and insights through data gathering, cleaning, and statistical analysis. They collaborate with cross-functional teams to meet organizational objectives and work across diverse sectors, including business intelligence, finance, marketing, and consulting.

Statistics 52

Statistics Data mining Visualization Reporting 52

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

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

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

Traditionally, data warehouses have stored curated, structured data to support analytics and business intelligence, with fast, easy access to data. Data warehouses, however, were not designed to support the demands of AI or semi-structured and unstructured data sources. Want to learn more?

Data Architecture 52

Data Architecture Data Lake Data Warehouse Cost-Benefit 52

Rita Sallam

AUGUST 17, 2016

Workday plans to embed Platfora technology into its technology foundation to complement existing operational reporting, dashboarding and scorecarding capabilities with Platfora’s ad hoc exploration features targeted specifically for Workday’s HR and Finance application customers.

Scorecard 40

Scorecard Visualization Sales Marketing 40

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 104

Risk Data Lake Marketing Interactive 104

Peter James Thomas

AUGUST 29, 2018

I have since run and driven transformation in Reference Data, Master Data , KYC [3] , Customer Data, Data Warehousing and more recently Data Lakes and Analytics , constantly building experience and capability in the Data Governance , Quality and data services domains, both inside banks, as a consultant and as a vendor.

Data-driven 61

Data-driven Cost-Benefit Metadata Technology 61

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

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 109

Data Warehouse Data Lake Data Integration Dashboards 109

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 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

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

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

CIO Business Intelligence

JUNE 24, 2022

But for Kumbhat, it’s the business that drives the IT agenda, not the other way around. 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.

Digital Transformation 126

Digital Transformation B2B Data-driven Data Lake 126

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 82

Cost-Benefit Metadata Data Governance Modeling 82

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 Business Intelligence 42

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

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

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. This is the Data Mart stage.

Data Lake 85

Data Lake Data Warehouse Data-driven B2B 85