CIO Business Intelligence

MARCH 6, 2024

What has IT’s role been in the transformation to a SaaS model? We built that end-to-end data model and process from scratch while we ran the old business. We knew we had a unique opportunity to build a new end-to-end architecture with a common AI-powered data model. Today, we’re a $1.6 Today, we’re a $1.6

Modeling 116

Modeling Management IT Metrics 116

CIO Business Intelligence

APRIL 8, 2025

These strategies, such as investing in AI-powered cleansing tools and adopting federated governance models, not only address the current data quality challenges but also pave the way for improved decision-making, operational efficiency and customer satisfaction. When financial data is inconsistent, reporting becomes unreliable.

Data Quality 102

Data Quality Data-driven Key Performance Indicator Metadata 102

IBM Big Data Hub

FEBRUARY 2, 2023

In today’s world, data warehouses are a critical component of any organization’s technology ecosystem. The rise of cloud has allowed data warehouses to provide new capabilities such as cost-effective data storage at petabyte scale, highly scalable compute and storage, pay-as-you-go pricing and fully managed service delivery.

Data Warehouse 56

Data Warehouse Cost-Benefit Unstructured Data Data Architecture 56

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

CIO Business Intelligence

NOVEMBER 7, 2024

As leaders in the technology landscape, it is imperative that we recognize data is a shared asset, essential to every function within our organization. Whether you’re in claims, finance, or technology, data literacy is a cornerstone of our collective accountability. So that’s the journey we’re on. So it’s very timely.

Insurance 120

Insurance Experimentation Testing Technology 120

CIO Business Intelligence

DECEMBER 19, 2022

To create innovative products that meet the various finance requirements of the market, Piramal Capital & Housing Finance opened the Piramal Innovation Lab in Bengaluru on Dec. Then we’ve got embedded finance partners. There still isn’t a place in the industry where you can get a home loan in minutes.

Data Warehouse 116

Data Warehouse Machine Learning Finance Technology 116

CIO Business Intelligence

OCTOBER 19, 2022

After so many years of “IT is a cost center,” it is refreshing to see so many technology leaders describe their role as value creation and even business model change. The focus is on business model change, not just another technology tool in the bag.” Digital is sales, marketing, finance, legal, and operations — everything.

IT 124

IT Data Warehouse Digital Transformation Risk 124

AWS Big Data

MAY 17, 2023

During that same time, AWS has been focused on helping customers manage their ever-growing volumes of data with tools like Amazon Redshift , the first fully managed, petabyte-scale cloud data warehouse. One group performed extract, transform, and load (ETL) operations to take raw data and make it available for analysis.

Data Warehouse 123

Data Warehouse Cost-Benefit Sales Data-driven 123

CIO Business Intelligence

JULY 30, 2024

These code copilots can also help programmers keep their focus on code when they run into a problem, instead of turning to a search engine or other resources to find answers, says Julian LaNeve, CTO at data orchestration startup Astronomer. Gen AI at Credibly is being used to give our underwriters superpowers,” he says. “As

Insurance 144

Insurance Machine Learning Interactive Finance 144

Jet Global

SEPTEMBER 4, 2020

Consultants and developers familiar with the AX data model could query the database using any number of different tools, including a myriad of different report writers. Data entities are more secure and arguably easier to master than the relational database model, but one downside is there are lots of them! Data Lakes.

Data Lake 88

Data Lake OLAP Data Warehouse Unstructured Data 88

Jet Global

NOVEMBER 5, 2020

If your company is using Microsoft Dynamics AX, you’ll be aware of the company’s shift to Microsoft Dynamics 365 Finance and Supply Chain Management (D365 F&SCM). That stands for “bring your own database,” and it refers to a model in which core ERP data are replicated to a separate standalone database used exclusively for reporting.

Data Lake 98

Data Lake OLAP Data Warehouse Unstructured Data 98

CIO Business Intelligence

OCTOBER 2, 2024

According to Kari Briski, VP of AI models, software, and services at Nvidia, successfully implementing gen AI hinges on effective data management and evaluating how different models work together to serve a specific use case. But some IT leaders are getting it right because they focus on three key aspects.

Management 141

Management Data Governance Cost-Benefit Structured Data 141

Jet Global

DECEMBER 1, 2020

Finance teams often work with business intelligence (BI) tools to analyze data, identify trends, pinpoint discrepancies, and build informative, compelling reports for management. Most finance and accounting teams include people with strong analysis skills who have built elaborate Excel spreadsheets. What Makes a Good BI Tool?

Finance 78

Finance Data Warehouse OLAP Reporting 78

IBM Big Data Hub

OCTOBER 16, 2023

It includes processes that trace and document the origin of data, models and associated metadata and pipelines for audits. Foundation models: The power of curated datasets Foundation models , also known as “transformers,” are modern, large-scale AI models trained on large amounts of raw, unlabeled data.

Risk 70

Risk Modeling Management Metadata 70

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

IBM Big Data Hub

APRIL 19, 2023

This work involved creating a single set of definitions and procedures for collecting and reporting financial data. The water company also needed to develop reporting for a data warehouse, financial data integration and operations.

Technology 81

Technology Forecasting Data Warehouse Reporting 81

AWS Big Data

NOVEMBER 29, 2023

This includes tools to help you customize your foundation models, and new services and features to build a strong data foundation to fuel your generative AI applications. Customizing foundation models The need for data is quite obvious if you are building your own foundation models (FMs).

Data Warehouse 116

Data Warehouse Data Lake Dashboards Data Integration 116

datapine

JANUARY 24, 2021

Additionally, incorporating a decision support system software can save a lot of company’s time – combining information from raw data, documents, personal knowledge, and business models will provide a solid foundation for solving business problems. ETL data warehouse*. 1) What exactly do you want to find out?

IT 317

IT Statistics KPI Data-driven 317

datapine

MARCH 31, 2022

For instance, you will learn valuable communication and problem-solving skills, as well as business and data management. Added to this, if you work as a data analyst you can learn about finances, marketing, IT, human resources, and any other department that you work with. Business Intelligence Job Roles.

Business Intelligence 239

Business Intelligence Statistics Visualization Data-driven 239

CIO Business Intelligence

FEBRUARY 16, 2023

Hence the drive to provide ML as a service to the Data & Tech team’s internal customers. All they would have to do is just build their model and run with it,” he says. That step, primarily undertaken by developers and data architects, established data governance and data integration.

Unstructured Data 105

Unstructured Data Data Lake Prescriptive Analytics Data Warehouse 105

Sisense

JUNE 26, 2019

We have often talked about the single-stack approach to business analytics, and with the complexity of enterprise data, this approach makes even more sense. . You want to make sure you have one place to bring in all your data and do your data modeling. Build Cached Models. This is the best of both worlds.

Enterprise 75

Enterprise Data Warehouse Dashboards Modeling 75

Jet Global

DECEMBER 8, 2020

Will you use SQL Server Analysis Services for data modeling, or will you do this within the Power BI desktop tool? Should you use the Direct Query feature, or import data into Power BI? The post Three Things Finance and Accounting Teams Should Know about Power BI and Risk appeared first on insightsoftware.

Finance 52

Finance Risk Reporting Software 52

Occam's Razor

APRIL 5, 2010

Share a sample analysis and, this is so sweeeet, a spreadsheet with a sample model that you can use to jump start your own LTV journey! You'll work with your acquisition team or your finance team to get the cost data. In this post David covers: Why Life Time Value is important (especially in context of Acquisition).

Analytics 136

Analytics Marketing Measurement Metrics 136

Jet Global

MARCH 6, 2020

T he process of digitization across manufacturing has created new sources of data as manufacturers have begun incorporating artificial intelligence (AI), machine learning, and the increasing use of robotics. Managing this increasing amount of data can wreak havoc on your financial teams. But how can they do this?

Manufacturing 75

Manufacturing Data-driven Finance KPI 75

CIO Business Intelligence

FEBRUARY 15, 2024

It’s then up to the CIO to sound less like a technical guru and more like the finance, marketing, and payroll people, making it clear that every activity takes place on the IT infrastructure. Data is one of the most important levers the CIO can use to have an effective dialogue with the CEO. Software is invisible.

Strategy 134

Strategy Digital Transformation Cost-Benefit Forecasting 134

Jet Global

OCTOBER 22, 2020

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. OLAP Cubes vs. Tabular Models. Let’s begin with an overview of how data analytics works for most business applications.

Modeling 52

Modeling OLAP Reporting Sales 52

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 106

Data-driven Data Lake Data Quality Data Governance 106

AWS Big Data

AUGUST 6, 2024

Amazon Redshift is a fast, scalable, secure, and fully managed cloud data warehouse that makes it straightforward and cost-effective to analyze your data. Amazon Redshift ML is a feature of Amazon Redshift that enables you to build, train, and deploy machine learning (ML) models directly within the Redshift environment.

Data Warehouse 84

Data Warehouse Data-driven Modeling Internet of Things 84

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 103

Data Lake Data Warehouse Data-driven B2B 103

Cloudera

MAY 30, 2024

Key use cases include customer journey/customer 360, regulatory compliance, financial crime prevention, risk management, market risk, credit risk, liquidity risk, operational risk, systemic risk, climate risk, intraday risk management, finance, integrated risk and finance view, treasury management, advanced analytics, and emerging technology.

Data Analytics 81

Data Analytics Risk Management Analytics Digital Transformation 81

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. INTERFACE OF BI SYSTEM.

Business Intelligence 98

Business Intelligence Informatics Data Warehouse Data mining 98

Occam's Razor

JANUARY 24, 2011

After following a structured process to create a Web Analytics Measurement Model most companies find that they are able to identify the goals for their web business. You'll need to look in your corporate data warehouses. You'll need to work with your Finance team. Sorry, OOD. Try these techniques. #1:

Analytics 123

Analytics Finance B2B Reporting 123

AWS Big Data

NOVEMBER 15, 2023

The difference lies in when and where data transformation takes place. In ETL, data is transformed before it’s loaded into the data warehouse. In ELT, raw data is loaded into the data warehouse first, then it’s transformed directly within the warehouse.

Dashboards 106

Dashboards Analytics Metadata Data Warehouse 106

Cloudera

MAY 23, 2024

In modern enterprises, the exponential growth of data means organizational knowledge is distributed across multiple formats, ranging from structured data stores such as data warehouses to multi-format data stores like data lakes. The image above demonstrates a KMS built using the llama3 model from Meta.

Management 80

Management Metrics Data Processing Data Lake 80

Cloudera

JANUARY 28, 2022

Open and extensible to support new clouds, data types and data services. All in a distributed cloud model that spans multi-public, private & edge clouds. . Here, I’ll provide some guidance on key considerations for a hybrid data cloud. What data do I need to achieve these objectives?

Slice and Dice 115

Slice and Dice Cost-Benefit Data Governance Risk 115

AWS Big Data

AUGUST 5, 2024

These business units have varying landscapes, where a data lake is managed by Amazon Simple Storage Service (Amazon S3) and analytics workloads are run on Amazon Redshift , a fast, scalable, and fully managed cloud data warehouse that allows you to process and run your complex SQL analytics workloads on structured and semi-structured data.

Data Lake 95

Data Lake Finance Sales Management 95

erwin

FEBRUARY 19, 2021

Connect physical metadata to specific data models, business terms, definitions and reusable design standards. Understand how data relates to the business and what attributes it has. Map data flows. Identify where to integrate data and track how it moves and transforms. Govern data. Analyze metadata.

Metadata 110

Metadata Management Data Quality Cost-Benefit 110