Peter James Thomas

OCTOBER 30, 2018

Note: Not all of the organisations I have worked with or for have had a C-level Executive accountable primarily for Marketing. Where they have, I have normally found the people holding these roles to be better informed about data matters than their peers. The same goes in general for Marketing Managers.

Marketing 51

Marketing Strategy Data Architecture Data Strategy 51

erwin

SEPTEMBER 17, 2020

Speed and faster time to market is a driving force behind most organizations’ efforts with data lineage automation. More work can be done when you are not waiting on someone to manually process data or forms. Regulatory compliance places greater transparency demands on firms when it comes to tracing and auditing data.

Cost-Benefit 143

Cost-Benefit Data Governance Metadata Reporting 143

CIO Business Intelligence

APRIL 30, 2024

For example, a marketing executive could use the feature to ask, “Which market is contributing the most to lead gen in my campaign?” Einstein Copilot for Tableau remains in beta, but Tableau announced two new features for the AI assistant as well: AI-assisted data transformation.

Analytics 96

Analytics Metrics Visualization Dashboards 96

CIO Business Intelligence

JULY 5, 2022

What is the difference between business analytics and data analytics? Business analytics is a subset of data analytics. Data analytics is used across disciplines to find trends and solve problems using data mining , data cleansing, data transformation, data modeling, and more.

Business Analytics 136

Business Analytics Prescriptive Analytics Data mining Diagnostic Analytics 136

CIO Business Intelligence

FEBRUARY 16, 2023

But to augment its various businesses with ML and AI, Iyengar’s team first had to break down data silos within the organization and transform the company’s data operations. Digitizing was our first stake at the table in our data journey,” he says.

Unstructured Data 105

Unstructured Data Data Lake Prescriptive Analytics Data Warehouse 105

AWS Big Data

JANUARY 15, 2025

With a unified catalog, enhanced analytics capabilities, and efficient data transformation processes, were laying the groundwork for future growth. This future vision will help EUROGATE maintain its position as a leader in container terminal operations while continuously adapting to technological advancements and market dynamics.

IoT 100

IoT Machine Learning Metadata Data-driven 100

Smart Data Collective

FEBRUARY 20, 2020

In 2015, Spend Matters wrote a detailed report on the applications of big data in the e-invoicing industry. Big Data Transforms Invoicing Software Applications. Before big data became a prominent aspect of invoicing, many SME owners don’t initially see much value in the concept of invoicing software.

Big Data 141

Big Data Software Reporting Interactive 141

O'Reilly on Data

JANUARY 17, 2023

At best, you’ll get a model you can put in production right now (short time-to-market), buying your team the time to custom-tune something else (to get better performance). An autoML solution may produce a “good enough” solution in just a few hours. It does not exist in the code. AutoML drives this point home.

Machine Learning 363

Machine Learning Predictive Modeling Software Modeling 363

CIO Business Intelligence

JUNE 13, 2022

New technologies hit the market, existing ones evolve, business needs change on a dime, staff comes and goes. So now there’s a focus on ‘transversal transformation,’” Hackenson adds. I thought I was hired for digital transformation but what is really needed is a data transformation,” she says. Customer experience.

IT 144

IT Digital Transformation Internet of Things Strategy 144

CIO Business Intelligence

JANUARY 9, 2023

To fuel self-service analytics and provide the real-time information customers and internal stakeholders need to meet customers’ shipping requirements, the Richmond, VA-based company, which operates a fleet of more than 8,500 tractors and 34,000 trailers, has embarked on a data transformation journey to improve data integration and data management.

Data Strategy 111

Data Strategy Strategy Data Governance Marketing 111

Cloudera

JUNE 1, 2021

Our partnership with CD&R and KKR will enable us to pursue exciting new markets that offer tremendous growth opportunities. . CDP is gaining tremendous momentum in the market and the rate of adoption in our customers is at an all-time high. Said simply, Datacoral offers a fully-managed service for worry-free data integrations.

Uncertainty 144

Uncertainty Cost-Benefit Risk Strategy 144

erwin

APRIL 29, 2020

Data is crucial to every organization’s survival. For that reason, businesses must think about the flow of data across multiple systems that fuel organizational decision-making. For example, the marketing department uses demographics and customer behavior to forecast sales.

Metadata 111

Metadata Key Performance Indicator Data Governance Data Quality 111

CIO Business Intelligence

JUNE 29, 2022

But the features in Power BI Premium are now more powerful than the functionality in Azure Analysis Services, so while the service isn’t going away, Microsoft will offer an automated migration tool in the second half of this year for customers who want to move their data models into Power BI instead. Azure Data Factory.

Data Lake 116

Data Lake Analytics Data Warehouse Machine Learning 116

CIO Business Intelligence

JANUARY 12, 2023

Each strategy will be different according to the unique needs of the university, but at a minimum it should include the following: Evaluation of current data estate to understand pinch points and siloes so these can start to be tackled. Comprehensive upskilling programme to overcome data skills gaps.

Data Strategy 98

Data Strategy Strategy IT Consulting 98

CIO Business Intelligence

JANUARY 24, 2024

Undervaluing unstructured data Much of the data organizations accumulate is unstructured, whether it’s text, video, audio, social media, images, or other formats. These information resources can hold enormous value for enterprises , enabling them to gain new insights about customers and market trends.

Data Strategy 136

Data Strategy Strategy Unstructured Data Data Governance 136

CIO Business Intelligence

OCTOBER 11, 2022

Clinical trials currently account for 60% of the cost and 70% of the time it takes to bring a potential new drug to market [1] ,” said Kaur. “AI Four ways to improve data-driven business transformation . AI and machine learning are helping us optimize that process and reduce the time it takes.

Machine Learning 145

Machine Learning Data Science Data-driven Testing 145

AWS Big Data

APRIL 26, 2023

We also split the data transformation into several modules (Data Aggregation, Data Filtering, and Data Preparation) to make the system more transparent and easier to maintain. Although each module is specific to a data source or a particular data transformation, we utilize reusable blocks inside of every job.

Forecasting 129

Forecasting Manufacturing Data Lake Big Data 129

Sisense

AUGUST 28, 2020

For starters, unavailability: When data is unavailable, the business is operating without visibility into a specific aspect of its behavior or history. You may have sales data or marketing data or financials, but without the right level of data integrity and availability, you can’t actually use it to make effective decisions.

Data Integration 101

Data Integration Testing Data Quality Data-driven 101

AWS Big Data

JANUARY 6, 2025

With Amazon AppFlow, you can run data flows at nearly any scale and at the frequency you chooseon a schedule, in response to a business event, or on demand. You can configure data transformation capabilities such as filtering and validation to generate rich, ready-to-use data as part of the flow itself, without additional steps.

Analytics 94

Analytics Data Warehouse Big Data Metrics 94

AWS Big Data

NOVEMBER 9, 2023

In this post, we delve into a case study for a retail use case, exploring how the Data Build Tool (dbt) was used effectively within an AWS environment to build a high-performing, efficient, and modern data platform. It does this by helping teams handle the T in ETL (extract, transform, and load) processes.

Data Warehouse 118

Data Warehouse Testing Data Quality Reporting 118

erwin

MARCH 4, 2021

For the EU, he warned, organizations need to prepare for the Digital Single Market , agreed on last year by the European Parliament and commission. With it comes clear definitions or rules on data access and exchange, especially across digital platforms, as well as clear regulations and also instruments to execute on data ownership.

Data Governance 122

Data Governance Digital Transformation Data-driven Cost-Benefit 122

DataKitchen

OCTOBER 25, 2022

It’s because it’s a hard thing to accomplish when there are so many teams, locales, data sources, pipelines, dependencies, data transformations, models, visualizations, tests, internal customers, and external customers. It’s not just a fear of change.

Testing 130

Testing Data-driven Visualization Dashboards 130

CIO Business Intelligence

AUGUST 3, 2023

When global technology company Lenovo started utilizing data analytics, they helped identify a new market niche for its gaming laptops, and powered remote diagnostics so their customers got the most from their servers and other devices.

Analytics 98

Analytics Data Lake Metadata Cost-Benefit 98

CIO Business Intelligence

JUNE 7, 2022

Data analytics draws from a range of disciplines — including computer programming, mathematics, and statistics — to perform analysis on data in an effort to describe, predict, and improve performance. What are the four types of data analytics?

Data Analytics 135

Data Analytics Diagnostic Analytics Management Analytics 135

Cloudera

APRIL 19, 2022

Data holds incredible untapped potential for Australian organisations across industries, regardless of individual business goals, and all organisations are at different points in their data transformation journey with some achieving success faster than others. . More importantly, effective data strategies don’t stand still.

Data-driven 93

Data-driven Data Strategy Big Data Strategy 93

Smart Data Collective

AUGUST 14, 2019

CIO reports that big data has helped the gaming industry increase its revenue to $40.6 How Is Big Data Transforming Digital Gaming? Big Data Made Simple wrote a great article on the applications of big data in virtual reality technology.

Big Data 92

Big Data Technology Recreation/Entertainment Machine Learning 92

Sisense

AUGUST 6, 2020

Integrating AI and ML into your product or service is becoming basic table stakes for staying in the market. Doing it right can mean the difference between thriving in the new world of data and disappearing from it. Know the limitations of your existing dataset and answer these questions: What categories of data are there?

Management 95

Management Machine Learning Key Performance Indicator Cost-Benefit 95

AWS Big Data

DECEMBER 4, 2024

Consequently, the bank encountered several challenges and needed to take the following actions: Create business insights from untapped data potential, estimated to be approximately $150 million in the Institutional Division alone Improve operational efficiency by removing manual data handling, the use of spreadsheets, and duplicate data entries Increase (..)

Metadata 93

Metadata Data Governance Data Quality Data-driven 93

AWS Big Data

APRIL 2, 2024

With these settings, you can now seamlessly ingest decompressed CloudWatch log data into Splunk using Firehose. He is a Partner Solutions Architect helping security ISV partners co-build and co-market solutions with AWS. Phaneendra Vuliyaragoli is a Product Management Lead for Amazon Data Firehose at AWS.

Metadata 98

Metadata Marketing Analytics Data Transformation 98

Sisense

OCTOBER 15, 2020

Dealing with Data is your window into the ways data teams are tackling the challenges of this new world to help their companies and their customers thrive. Streaming data analytics is expected to grow into a $38.6 billion market by 2025. Let’s look at a few ways that different industries take advantage of streaming data.

Dashboards 98

Dashboards IoT Optimization Internet of Things 98

AWS Big Data

DECEMBER 21, 2023

smava believes in and takes advantage of data-driven decisions in order to become the market leader. The Data Platform team is responsible for supporting data-driven decisions at smava by providing data products across all departments and branches of the company.

Data Lake 103

Data Lake Data Warehouse Data-driven B2B 103

Ontotext

NOVEMBER 18, 2021

It’s a dangerous business, putting your product to market. You step onto the market, and if you don’t keep your data, there’s no knowing where you might be swept off to. [1]. Picture this – you start with the perfect use case for your data analytics product. Maybe a little too well.

Visualization 98

Visualization Reporting Metadata Enterprise 98

CIO Business Intelligence

JUNE 23, 2022

In the data supply chain, there are a variety of sources of internal and external data (from data brokers, social media/sentiment analysis, etc.) and just like a physical supply chain, reducing complexity in the data supply chain helps improve overall quality. How can reducing complexity improve the quality?

Data Quality 98

Data Quality Key Performance Indicator Metrics KPI 98

IBM Big Data Hub

JUNE 15, 2023

To help organizations scale AI workloads, we recently announced IBM watsonx.data , a data store built on an open data lakehouse architecture and part of the watsonx AI and data platform. New insights are found in the combination of new data with existing data, and the identification of new relationships.

Data Warehouse 86

Data Warehouse Data Lake Optimization Data-driven 86

Octopai

NOVEMBER 13, 2022

The modern data stack is a data management system built out of cloud-based data systems. A given modern data stack will usually include components for data ingestion from your data sources, data transformation, data storage, data analysis and reporting.

Enterprise 97

Enterprise Data Warehouse Reporting Metadata 97

AWS Big Data

AUGUST 26, 2024

Solution overview The following diagram illustrates the solution architecture: The solution uses AWS Glue as an ETL engine to extract data from the source Amazon RDS database. Built-in data transformations then scrub columns containing PII using pre-defined masking functions. PII detection and scrubbing.

Visualization 107

Visualization Metadata Data Transformation Testing 107

David Menninger's Analyst Perspectives

NOVEMBER 7, 2024

Providers of business planning software frequently include data stores that automate the ingestion of information from a range of systems of record (such as enterprise resource planning, customer relationship management, human capital management and supply chain management) as well as data from external sources that track economic and market data.

Forecasting 130

Forecasting Machine Learning Finance Predictive Analytics 130