CIO Business Intelligence

MARCH 6, 2024

Many of our customers had already started to move their applications and it made sense they would want to transition to data management in the cloud as well. The investment thesis was we could dramatically change the value of the company by becoming a true cloud and subscription-driven company. Today, we’re a $1.6 Today, we’re a $1.6

Modeling 105

Modeling Management IT Metrics 105

erwin

MAY 2, 2022

How to create a solid foundation for data modeling of OLTP systems. As you undertake a cloud database migration , a best practice is to perform data modeling as the foundation for well-designed OLTP databases. This makes mastering basic data modeling techniques and avoiding common pitfalls imperative.

Modeling 98

Modeling Insurance Cost-Benefit Data Warehouse 98

Cloudera

JUNE 11, 2024

More than two-thirds of companies are currently using Generative AI (GenAI) models, such as large language models (LLMs), which can understand and generate human-like text, images, video, music, and even code. However, the true power of these models lies in their ability to adapt to an enterprise’s unique context.

Enterprise 67

Enterprise Unstructured Data Contextual Data Data-driven 67

CIO Business Intelligence

JUNE 24, 2022

Approximately 61% of APAC organizations have failed to build robust and successful digital business business models, primarily due to unsound practices of enterprise architecture (EA) teams, according to a report from Forrester. Enterprise architecture is key to success. “To

Modeling 92

Modeling Digital Transformation Data Architecture Data-driven 92

Cloudera

MAY 30, 2024

The financial services industry is undergoing a significant transformation, driven by the need for data-driven insights, digital transformation, and compliance with evolving regulations. What are some of the reasons that TAI Solutions’ customers choose Cloudera?

Data Analytics 81

Data Analytics Risk Management Digital Transformation Analytics 81

erwin

AUGUST 15, 2022

For NoSQL, data lakes, and data lake houses—data modeling of both structured and unstructured data is somewhat novel and thorny. This blog is an introduction to some advanced NoSQL and data lake database design techniques (while avoiding common pitfalls) is noteworthy. A sample data warehousing project.

Data Lake 52

Data Lake Modeling Unstructured Data Data Warehouse 52

CIO Business Intelligence

MARCH 29, 2024

That’s why Rocket Mortgage has been a vigorous implementor of machine learning and AI technologies — and why CIO Brian Woodring emphasizes a “human in the loop” AI strategy that will not be pinned down to any one generative AI model. Today, 60% to 70% of Rocket’s workloads run on the cloud, with more than 95% of those workloads in AWS.

Data Lake 112

Data Lake Machine Learning Data Warehouse Unstructured Data 112

CIO Business Intelligence

NOVEMBER 14, 2022

Decision support systems definition A decision support system (DSS) is an interactive information system that analyzes large volumes of data for informing business decisions. A DSS leverages a combination of raw data, documents, personal knowledge, and/or business models to help users make decisions.

Data mining 125

Data mining Data-driven Statistics OLAP 125

AWS Big Data

MAY 17, 2023

Credit: Phil Goldstein Jerry Wang, Peloton’s Director of Data Engineering (left), and Evy Kho, Peloton’s Manager of Subscription Analytics, discuss how the company has benefited from using Amazon Redshift. From 2019 to now, Wang reports the amount of data the company holds has grown by a factor of 20.

Data Warehouse 111

Data Warehouse Cost-Benefit Sales Data-driven 111

IBM Big Data Hub

APRIL 25, 2023

In a prior blog , we pointed out that warehouses, known for high-performance data processing for business intelligence, can quickly become expensive for new data and evolving workloads. To do so, Presto and Spark need to readily work with existing and modern data warehouse infrastructures.

Optimization 56

Optimization Strategy Data Warehouse Cost-Benefit 56

Octopai

APRIL 24, 2023

This new native integration enhances our data lineage solution by providing seamless integration with one of the most powerful cloud-based data warehouses, benefiting data teams and enabling support for a broader range of data lineage, discovery, and catalog.

Cost-Benefit 96

Cost-Benefit Data Warehouse Data-driven Data Governance 96

DataKitchen

AUGUST 3, 2021

The data mesh design pattern breaks giant, monolithic enterprise data architectures into subsystems or domains, each managed by a dedicated team. DataOps helps the data mesh deliver greater business agility by enabling decentralized domains to work in concert. . But first, let’s define the data mesh design pattern.

Data Architecture 246

Data Architecture Data Lake Cost-Benefit Data Warehouse 246

AWS Big Data

APRIL 10, 2024

“Data is at the center of every application, process, and business decision. Customers across industries are becoming more data driven and looking to increase revenue, reduce cost, and optimize their business operations by implementing near real time analytics on transactional data, thereby enhancing agility.

Data Warehouse 92

Data Warehouse Analytics Metrics Snapshot 92

Sisense

JULY 8, 2020

We live in a world of data: there’s more of it than ever before, in a ceaselessly expanding array of forms and locations. 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.

Data Warehouse 90

Data Warehouse Data Lake Data-driven Cost-Benefit 90

AWS Big Data

NOVEMBER 28, 2023

As customers become more data driven and use data as a source of competitive advantage, they want to easily run analytics on their data to better understand their core business drivers to grow sales, reduce costs, and optimize their businesses. ETL is the process data engineers use to combine data from different sources.

Data Warehouse 92

Data Warehouse Data-driven Machine Learning B2B 92

AWS Big Data

MAY 28, 2024

Welcome back to our exciting exploration of architectural patterns for real-time analytics with Amazon Kinesis Data Streams! Before we dive in, we recommend reviewing Architectural patterns for real-time analytics using Amazon Kinesis Data Streams, part 1 for the basic functionalities of Kinesis Data Streams.

IoT 91

IoT Analytics Dashboards Data-driven 91

IBM Big Data Hub

SEPTEMBER 11, 2023

We are in the midst of an AI revolution where organizations are seeking to leverage data for business transformation and harness generative AI and foundation models to boost productivity, innovate, enhance customer experiences, and gain a competitive edge. Watsonx.data on AWS: Imagine having the power of data at your fingertips.

Data-driven 104

Data-driven Insurance Digital Transformation Data Warehouse 104

CDW Research Hub

JULY 18, 2022

While many organizations understand the business need for a data and analytics cloud platform , few can quickly modernize their legacy data warehouse due to a lack of skills, resources, and data literacy. Sirius has created a lightweight development tool to rapidly build and deploy best-practice data models.

Optimization 87

Optimization Data Lake Data Warehouse Manufacturing 87

CIO Business Intelligence

APRIL 10, 2019

With data increasingly vital to business success, business intelligence (BI) continues to grow in importance. With a strong BI strategy and team, organizations can perform the kinds of analysis of business information necessary to help users make data-driven business decisions. BI encompasses numerous roles.

Business Intelligence 109

Business Intelligence Data Warehouse Data-driven Strategy 109

Cloudera

AUGUST 31, 2021

Cloudera and Accenture demonstrate strength in their relationship with an accelerator called the Smart Data Transition Toolkit for migration of legacy data warehouses into Cloudera Data Platform. Accenture’s Smart Data Transition Toolkit . Are you looking for your data warehouse to support the hybrid multi-cloud?

Data Warehouse 82

Data Warehouse Cost-Benefit Metadata Data-driven 82

erwin

SEPTEMBER 5, 2022

As with part 1 , part 2 ,and part 3 of this data modeling blog series, this blog also stresses that the cloud is not nirvana. Data modeling best practices. So, good relational design as covered in part 1 of this data modeling blog series holds true. Yes, it offers essentially infinitely scalable resources.

Modeling 52

Modeling Cost-Benefit Testing Data-driven 52

Sisense

JULY 7, 2020

Sisense News is your home for corporate announcements, new Sisense features, product innovation, and everything we roll out to empower our users to get the most out of their data. Today’s organizations are more data-driven than ever. Delivering maximum flexibility for your data.

Slice and Dice 92

Slice and Dice Data Warehouse Analytics Dashboards 92

CIO Business Intelligence

FEBRUARY 14, 2023

By George Trujillo, Principal Data Strategist, DataStax Increased operational efficiencies at airports. To succeed with real-time AI, data ecosystems need to excel at handling fast-moving streams of events, operational data, and machine learning models to leverage insights and automate decision-making.

Data Strategy 107

Data Strategy Strategy Machine Learning Data-driven 107

CIO Business Intelligence

APRIL 12, 2023

By George Trujillo, Principal Data Strategist, DataStax I recently had a conversation with a senior executive who had just landed at a new organization. He had been trying to gather new data insights but was frustrated at how long it was taking. Real-time AI involves processing data for making decisions within a given time frame.

Machine Learning 128

Machine Learning Cost-Benefit Data-driven Strategy 128

IBM Big Data Hub

NOVEMBER 6, 2023

Enterprises should create personalized experiences for SMBs based on qualitative and quantitative data As SMBs become more cautious about their spending, the enterprises that serve them must drive value through increased personalization. Data-driven personalization is essential in today’s business environment.

Cost-Benefit 102

Cost-Benefit Enterprise ROI Data Warehouse 102

AWS Big Data

JUNE 28, 2023

Data is at the center of every application, process, and business decision. When data is used to improve customer experiences and drive innovation, it can lead to business growth. According to Forrester , advanced insights-driven businesses are 8.5 Firstly, it invariably requires data engineers to create custom code.

Analytics 69

Analytics Data Warehouse Data Lake Data-driven 69

Laminar Security

DECEMBER 13, 2023

In the ever-evolving digital landscape, the importance of data discovery and classification can’t be overstated. As we generate and interact with unprecedented volumes of data, the task of accurately identifying, categorizing, and utilizing this information becomes increasingly difficult.

Data-driven 119

Data-driven Machine Learning Risk Deep Learning 119

Timo Elliott

JANUARY 6, 2022

Like the proverbial man looking for his keys under the streetlight , when it comes to enterprise data, if you only look at where the light is already shining, you can end up missing a lot. Remember that dark data is the data you have but don’t understand. So how do you find your dark data? Analyze your metadata.

IT 135

IT Metadata Data-driven Data Governance 135

Cloudera

MARCH 2, 2018

If you do an internet search for ‘data-driven disruption’ you can find articles about almost every industry being disrupted by digitalisation and new applications of data. While there are instances of data-driven efforts in the nonprofit sector, they are not as widespread as they can be.

Data-driven 43

Data-driven Prescriptive Analytics Descriptive Analytics Machine Learning 43

Ontotext

MAY 2, 2024

Data leaders today are faced with an almost impossible challenge. They are expected to understand the entire data landscape and generate business-moving insights while facing the voracious needs of different teams and the constraints of technology architecture and compliance.

Metadata 52

Metadata Data Lake Data-driven Enterprise 52

DataRobot Blog

FEBRUARY 28, 2023

Integrating different systems, data sources, and technologies within an ecosystem can be difficult and time-consuming, leading to inefficiencies, data silos, broken machine learning models, and locked ROI. Exploratory Data Analysis After we connect to Snowflake, we can start our ML experiment.

Data Processing 72

Data Processing Experimentation Machine Learning Modeling 72

BizAcuity

JULY 13, 2021

Artificial Intelligence impersonates human intelligence using various algorithms to collect data and improve performance with data compliance over some time. For the mass of collected data that AI technology can process and use, the customer’s habits are known. Data Enrichment/Data Warehouse Layer.

Optimization 52

Optimization Marketing Analytics Data Warehouse 52

AWS Big Data

MAY 30, 2024

Amazon Redshift is 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 Warehouse 85

Data Warehouse Data Lake Cost-Benefit Structured Data 85

CIO Business Intelligence

DECEMBER 1, 2022

Tapped to guide the company’s digital journey, as she had for firms such as P&G and Adidas, Kanioura has roughly 1,000 data engineers, software engineers, and data scientists working on a “human-centered model” to transform PepsiCo into a next-generation company.

Digital Transformation 122

Digital Transformation IoT Data-driven KPI 122

CDW Research Hub

APRIL 20, 2020

Many organizations move from a traditional data warehouse to a hybrid or cloud-based data warehouse to help alleviate their struggles with rapidly expanding data, new users and use cases, and a growing number of diverse tools and applications. Connecting ThoughtSpot and Snowflake is a simple 3-step process.

Data Warehouse 52

Data Warehouse Consulting Data-driven Structured Data 52

CIO Business Intelligence

JUNE 23, 2023

According to the MIT Technology Review Insights Survey, an enterprise data strategy supports vital business objectives including expanding sales, improving operational efficiency, and reducing time to market. The problem is today, just 13% of organizations excel at delivering on their data strategy.

Data Strategy 102

Data Strategy Strategy Visualization Consulting 102

Cloudera

SEPTEMBER 29, 2022

Data teams have the impossible task of delivering everything (data and workloads) everywhere (on premise and in all clouds) all at once (with little to no latency). Each of these trends claim to be complete models for their data architectures to solve the “everything everywhere all at once” problem. Data mesh defined.

Data Architecture 74

Data Architecture Metadata Data Warehouse Sales 74