CIO Business Intelligence

AUGUST 30, 2022

To enable this, Teradata’s multi-cloud software integrates data fast across finance systems – such as Oracle, PeopleSoft, and SAP – to connect and integrate in near real-time. It also has a pre-built financial data model that’s ready to receive and structure data to enable controlled, user-friendly access.

Data-driven 98

Data-driven Finance Digital Transformation Operational Reporting 98

CIO Business Intelligence

APRIL 26, 2024

Achanta says customers will have access to knowledge graphs that retrieve information from a wider field and will be empowered to make logical inferences from linked, unstructured and structured data, enhancing the meaning and context. Artificial Intelligence, Data Management, Digital Transformation, Financial Services Industry

Modeling 62

Modeling IT Machine Learning Data Governance 62

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 104

Unstructured Data Data Lake Prescriptive Analytics Digital Transformation 104

erwin

SEPTEMBER 10, 2020

But given the volume, velocity and variety of data (the three Vs of data) we generate today, producing and keeping up with end-to-end data linage is complex and time-consuming. Effectively managing business operations is a key factor to success– especially for organizations that are in the midst of digital transformation.

Data Governance 131

Data Governance Key Performance Indicator Digital Transformation Metadata 131

Sisense

APRIL 26, 2020

Structured vs unstructured data. Structured data is far easier for programs to understand, while unstructured data poses a greater challenge. However, both types of data play an important role in data analysis. Structured data. Structured data is organized in tabular format (ie.

Unstructured Data 52

Unstructured Data Data Warehouse Structured Data Data mining 52

Smart Data Collective

APRIL 8, 2020

sThe recent years have seen a tremendous surge in data generation levels , characterized by the dramatic digital transformation occurring in myriad enterprises across the industrial landscape. The amount of data being generated globally is increasing at rapid rates.

Technology 133

Technology Data Warehouse Big Data Machine Learning 133

Ontotext

SEPTEMBER 7, 2023

But the use cases that it’s very good at have really exploded, particularly around digital transformation. Malcolm : We talked a little bit about how graphs can be used to create, visualize and understand novel relationships and manage and structure data in a different way that’s more flexible and more powerful.

Technology 59

Technology Visualization Digital Transformation Management 59

Sisense

JUNE 8, 2020

Every company is becoming a data company. In Data-Powered Businesses , we dive into the ways that companies of all kinds are digitally transforming to make smarter data-driven decisions, monetize their data, and create companies that will thrive in our current era of Big Data.

Data Warehouse 89

Data Warehouse Data-driven Dashboards Sales 89

Ontotext

JULY 13, 2023

Digital Transformation as an accelerator for Semantic Technologies Wolters Kluwer , a leading publisher of professional information/services in legal, healthcare, accounting, and compliance sectors, transformed their data management processes by implementing a taxonomy-led solution.

Enterprise 52

Enterprise Metadata Digital Transformation Software 52

AWS Big Data

MARCH 13, 2024

Query the data using Athena Athena is a serverless, interactive analytics service built to analyze unstructured, semi-structured, and structured data where it is hosted. To query the data with Athena, complete the following steps: On the Athena console, open the query editor.

Analytics 92

Analytics IoT Metadata Internet of Things 92

IBM Big Data Hub

JULY 19, 2023

We started with prepping the proprietary structured data to clean and make it ready in a format to be able to pass within prompts for fine-tuning and inferencing. The high-level pipeline for this process is shown in Figure 1.

Consulting 65

Consulting Machine Learning Manufacturing Optimization 65

datapine

MAY 9, 2019

Business intelligence concepts refer to the usage of digital computing technologies in the form of data warehouses, analytics and visualization with the aim of identifying and analyzing essential business-based data to generate new, actionable corporate insights. Upscale your IT project management.

Business Intelligence 270

Business Intelligence Dashboards Data Warehouse Sales 270

BizAcuity

MARCH 1, 2019

Data is only useful when it is actionable for which it needs to be supplemented with context and creativity. Traditional methods of analyzing structured data are not designed to efficiently process these large amounts of real-time data that is collected from IoT devices. IoT, Artificial Intelligence and Healthcare.

IoT 56

IoT Internet of Things Big Data Data-driven 56

Sisense

JULY 22, 2020

Doing this will require rethinking how you handle data, learn from it, and how data fits in your digital transformation. Simplifying digital transformation. The growing amount and increasingly varied sources of data that every organization generates make digital transformation a daunting prospect.

Slice and Dice 98

Slice and Dice Digital Transformation Data Warehouse Data Lake 98

IBM Big Data Hub

APRIL 24, 2023

Unexpected situations like the COVID-19 pandemic and the ongoing macroeconomic atmosphere are wake-up calls for companies worldwide to exponentially accelerate digital transformation. Benefits of new data warehousing technology Everything is data, regardless of whether it’s structured, semi-structured, or unstructured.

Data Warehouse 99

Data Warehouse Data Lake Cost-Benefit Enterprise 99

IBM Big Data Hub

JUNE 26, 2023

Facing challenges, Yanfeng Auto’s approach is to work with companies like IBM with advanced technology, industry experience and technical expertise to accelerate its own data-driven digital transformation to reduce cost, improve efficiency and scale for company-wide innovation.

Manufacturing 66

Manufacturing Software Optimization Digital Transformation 66

bridgei2i

FEBRUARY 28, 2020

Digital transformation could mean different things to different businesses. Let’s start with 2 news items that show how banks are transforming, digitally and literally: News 1: HSBC: HSBC Moves $20 Billion From Paper to Blockchain In One Of The Biggest Financial Deployments. Case in point, banks.

Risk Management 78

Risk Management Unstructured Data Machine Learning Digital Transformation 78

Cloudera

JULY 26, 2021

PoS and transaction data to optimize supply chain operations). A growing desire for self-service analytics among internal data consumers and knowledge workers, external partners and clients. a technology choice such as Spark Streaming is overly focused on throughput at the expense of latency) or data formats (e.g.,

Strategy 114

Strategy Marketing Unstructured Data Data Science 114

Timo Elliott

JANUARY 22, 2019

Understanding and optimizing the customer experience is the bedrock of successful digital transformation. Traditional analytics focused on structured data flowing from operational systems. Newer analytic platforms have blended more unstructured data such as text, images, and raw sensor readings into analytic workflows.

Analytics 89

Analytics Machine Learning Unstructured Data Digital Transformation 89

AWS Big Data

OCTOBER 18, 2023

Spark SQL is an Apache Spark module for structured data processing. About the authors Amit Maindola is a Senior Data Architect focused on big data and analytics at Amazon Web Services. We encourage you to give it a try and are keen to hear your feedback and suggestions.

Big Data 79

Big Data Data Processing Interactive Testing 79

Alation

OCTOBER 28, 2021

Data & analytics represents a major opportunity to tackle these challenges. Indeed, many healthcare organizations today are embracing digital transformation and using data to enhance operations. In other words, they use data to heal more people and save more lives.

Data Governance 52

Data Governance Measurement Modeling Metrics 52

Alation

OCTOBER 21, 2021

A data lakehouse combines the benefits of a data lake, including scale, efficiency, and flexibility, with the benefits of a data warehouse, which include ideal support for structured data.

Data Lake 52

Data Lake Metadata Data Warehouse Data Governance 52

Domino Data Lab

MARCH 3, 2019

There are essentially four types encountered: image/video, audio, text, and structured data. However, the laggards have years’ worth of digital transformation, company culture detox, massive staffing hurdles, etc. Translated, there’s a breakaway accelerating between the leaders and the laggards.

Data Science 49

Data Science Deep Learning Machine Learning Modeling 49

AWS Big Data

APRIL 4, 2024

With a powerful set of solutions, Aura enables complete digital transformation, letting operators promote key services outside the store, directly on-device. Amazon Redshift is a recommended service for online analytical processing (OLAP) workloads such as cloud data warehouses, data marts, and other analytical data stores.

Big Data 65

Big Data Data Warehouse Advertising OLAP 65

IBM Big Data Hub

AUGUST 15, 2023

To that end, IBM is building a set of domain-specific foundation models that go beyond natural language learning models and are trained on multiple types of business data, including code, time-series data, tabular data, geospatial data, semi-structured data, and mixed-modality data such as text combined with images.

IT 82

IT Data Governance Modeling Cost-Benefit 82

CIO Business Intelligence

MARCH 6, 2023

We use Snowflake very heavily as our primary data querying engine to cross all of our distributed boundaries because we pull in from structured and non-structured data stores and flat objects that have no structure,” Frazer says. “We think we found a good balance there.

Data Lake 88

Data Lake Cost-Benefit Recreation/Entertainment Experimentation 88

Sisense

JULY 23, 2021

During this period, those working for each city’s Organising Committee for the Olympic Games (OCOG) collect a huge amount of data about the planning and delivery of the Games.

Unstructured Data 105

Unstructured Data Internet of Things Data-driven Data Processing 105

AWS Big Data

DECEMBER 21, 2023

For the downstream consumption by all departments across the organization, smava’s Data Platform team prepares curated data products following the extract, load, and transform (ELT) pattern. Alexander Spivak is a Senior Startup Solutions Architect at AWS, focusing on B2B ISV customers across EMEA North.

Data Lake 87

Data Lake Data Warehouse Data-driven B2B 87