CIO Business Intelligence

JUNE 24, 2022

A digital model details the whole route an enterprise takes to digital transformation , including operational changes in an organization, by integrating with emerging technologies to drive more efficient business processes and outcomes. Digital Transformation

Modeling 104

Modeling Digital Transformation Data Architecture Data-driven 104

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

Cloudera

MAY 12, 2021

The 2021 Cloudera Data Impact Award categories aim to recognize organizations that are using Cloudera’s platform and services to unlock the power of data, with massive business and social impact. DATA FOR ENTERPRISE AI. Nominations for the 2021 Cloudera Data Impact Awards are open from now until July 23.

Digital Transformation 70

Digital Transformation Machine Learning Optimization Data Lake 70

Timo Elliott

OCTOBER 3, 2019

For example, Gerd Danner explained the digital core strategy of S/4HANA is key part of the journey, emphasizing that while the new platform gives you a lot more real-time analytic power, without any data duplication, you still need a data warehouse and analytics strategy over time and across different systems.

Data Warehouse 63

Data Warehouse Digital Transformation Machine Learning Strategy 63

Sisense

APRIL 26, 2020

Read on to explore more about structured vs unstructured data, why the difference between structured and unstructured data matters, and how cloud data warehouses deal with them both. Structured vs unstructured data. However, both types of data play an important role in data analysis.

Unstructured Data 52

Unstructured Data Data Warehouse Structured Data Data mining 52

CDW Research Hub

JULY 2, 2021

Cloud Pak for Security is an open platform for connecting and centralizing data from multiple sources, including IBM solutions, on-premises, private or public cloud, or third-party tools. GDP is a leading data security platform for databases and data warehouses. Better together.

Cost-Benefit 52

Cost-Benefit Digital Transformation Data Warehouse Risk 52

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

CIO Business Intelligence

SEPTEMBER 8, 2022

In this blog post, I will share five actions you can take to move beyond the buzzwords and make your AI-driven digital transformation a reality that will shape your organization’s future. The bottom line: Most companies know they need AI but have not found the answer to “where do I start?” Be clear on the “why”.

Machine Learning 113

Machine Learning Cost-Benefit Data-driven Digital Transformation 113

Timo Elliott

MARCH 6, 2023

However, analysts say that 30% of digital transformation projects fail to deliver on their expected outcomes due to fragmentation in existing systems. To address this, a digital business platform is needed, which is a solid foundation of technology to enable agile and flexible innovation.

Machine Learning 111

Machine Learning Cost-Benefit Uncertainty ROI 111

Sisense

DECEMBER 23, 2019

AI and ML are the only ways to derive value from massive data lakes, cloud-native data warehouses, and other huge stores of information. Your platform should be able to effortlessly connect to numerous large datasets: cloud-native data warehouses and data lakes with millions or billions of rows.

Data Lake 86

Data Lake Machine Learning Data Warehouse Digital Transformation 86

CIO Business Intelligence

SEPTEMBER 8, 2022

Gathering and processing data quickly enables organizations to assess options and take action faster, leading to a variety of benefits, said Elitsa Krumova ( @Eli_Krumova ), a digital consultant, thought leader and technology influencer. This means that all changes, all transitions, are instantaneous.

Cost-Benefit 120

Cost-Benefit Internet of Things Data-driven Data Lake 120

Cloudera

JANUARY 28, 2022

Portable, interoperable data services for the lifecycle of data across clouds. A decision framework to automate and optimize workload execution. Open and extensible to support new clouds, data types and data services. What data do I need to achieve these objectives?

Slice and Dice 117

Slice and Dice Cost-Benefit Risk Data Governance 117

Cloudera

AUGUST 30, 2018

How do I get to the next level in the data-driven journey fast enough? How do I meet a growing demand for self-serve BI, while not exploding my data warehouse budgets? How can I optimize my rate of return and continue to drive innovation? Tough decisions. Complex scenarios. The post Introducing Cloudera Enterprise 6.0

Enterprise 40

Enterprise Data-driven Digital Transformation Machine Learning 40

IBM Big Data Hub

NOVEMBER 8, 2023

TL2 — building on Power10’s high availability leadership with performance and scale enhancements to Live Kernel Update (designed to give the ability to update AIX without unplanned downtime), optimized file system performance and enhancements designed to improve AIX encryption performance and audit event checking.

Strategy 93

Strategy Data-driven Cost-Benefit Digital Transformation 93

Jet Global

JANUARY 6, 2021

It provides a robust, scalable IT infrastructure and stronger integration capabilities that open the door for broader adoption of digital transformation technologies. By using a data warehouse as a means for automating data migration , companies can periodically push data from their live system to a test or development environment.

Cost-Benefit 98

Cost-Benefit Testing Finance Reporting 98

Sisense

APRIL 1, 2020

I’ve met a healthcare company that is learning to optimize capacity and advance resource planning. I’ve met an eCommerce company using data to understand and adjust for a sudden burst of activity. Our customers need to respond quickly using data and analytics, as well as AI and machine learning to make better, smarter decisions.

Consulting 52

Consulting Dashboards Data Warehouse Optimization 52

Alation

APRIL 25, 2023

It’d be difficult to exaggerate the importance of data in today’s global marketplace, especially for firms which are going through digital transformation (DT). This reduces wait time, conserves resources, and allows you to put that data to work for your business faster. This is where a reverse ETL process is needed.

Data Governance 52

Data Governance Marketing Machine Learning Sales 52

Cloudera

FEBRUARY 7, 2019

The company sought a data management platform that would allow its enterprise to handle greater data variety, velocity and volume in a cost-effective manner. This has become a core component of the fraud management framework for the business, and has helped solidify its role as the trusted keeper of sensitive data.

Big Data 68

Big Data Data Analytics Analytics Data Architecture 68

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. Data is reported from one central repository, enabling management to draw more meaningful business insights and make faster, better decisions.

Data Warehouse 90

Data Warehouse Data Lake Cost-Benefit Enterprise 90

Alation

APRIL 25, 2023

It’d be difficult to exaggerate the importance of data in today’s global marketplace, especially for firms which are going through digital transformation (DT). This reduces wait time, conserves resources, and allows you to put that data to work for your business faster. This is where a reverse ETL process is needed.

Data Governance 40

Data Governance Marketing Machine Learning Sales 40

CIO Business Intelligence

NOVEMBER 25, 2022

Carhartt’s signature workwear is near ubiquitous, and its continuing presence on factory floors and at skate parks alike is fueled in part thanks to an ongoing digital transformation that is advancing the 133-year-old Midwest company’s operations to make the most of advanced digital technologies, including the cloud, data analytics, and AI.

Data Lake 127

Data Lake Data Warehouse Unstructured Data Data Architecture 127

BI-Survey

NOVEMBER 23, 2021

However, the operational data stored in data silos was not suitable for this task. Many companies therefore built a data warehouse to consolidate their operational data silos. Data-based insights are being used to automate decisions. Data black holes: the high cost of supposed flexibility.

Digital Transformation 52

Digital Transformation Data Warehouse Data Lake Data-driven 52

Sisense

DECEMBER 3, 2019

The rapid growth of data volumes has effectively outstripped our ability to process and analyze it. The first wave of digital transformations saw a dramatic decrease in data storage costs. On-demand compute resources and MPP cloud data warehouses emerged. Optimize raw data using materialized views.

Data Warehouse 90

Data Warehouse Analytics Digital Transformation Forecasting 90

IBM Big Data Hub

MAY 9, 2023

Watsonx.data will allow users to access their data through a single point of entry and run multiple fit-for-purpose query engines across IT environments. Through workload optimization an organization can reduce data warehouse costs by up to 50 percent by augmenting with this solution. [1]

Data Warehouse 72

Data Warehouse Cost-Benefit Recreation/Entertainment Unstructured Data 72

AWS Big Data

NOVEMBER 15, 2023

BMW Group uses 4,500 AWS Cloud accounts across the entire organization but is faced with the challenge of reducing unnecessary costs, optimizing spend, and having a central place to monitor costs. The ultimate goal is to raise awareness of cloud efficiency and optimize cloud utilization in a cost-effective and sustainable manner.

Dashboards 96

Dashboards Analytics Metadata Data Warehouse 96

Data Virtualization

APRIL 30, 2020

We are in the midst of a significant transformation in each and every sphere of business. The way products are getting manufactured is being transformed with automation, robotics, and. We are witnessing an Industrial 4.0 revolution across the industrial sectors.

Manufacturing 52

Manufacturing Digital Transformation Optimization Data Warehouse 52

IBM Big Data Hub

JULY 17, 2023

.” Sean Im, CEO, Samsung SDS America “In the field of generative AI and foundation models, watsonx is a platform that will enable us to meet our customers’ requirements in terms of optimization and security, while allowing them to benefit from the dynamism and innovations of the open-source community.”

Machine Learning 62

Machine Learning Data Warehouse Modeling Cost-Benefit 62

Cloudera

FEBRUARY 8, 2021

You can read part 1, here: Digital Transformation is a Data Journey From Edge to Insight. Predictive Analytics – predictive analytics based upon AI and machine learning (predictive maintenance, demand-based inventory optimization as examples). 1 The enterprise data lifecycle. 2 ECC data enrichment pipeline.

Manufacturing 120

Manufacturing Data Warehouse Sales Predictive Analytics 120

CIO Business Intelligence

OCTOBER 18, 2022

One pulse sends 150 bytes of data. So, each band can send out 500KB to 750KB of data. To handle the huge volume of data thus generated, the company is in the process of deploying a data lake, data warehouse, and real-time analytical tools in a hybrid model. Digital Transformation, RFID

Data Lake 98

Data Lake Cost-Benefit Digital Transformation Data Warehouse 98

Jedox

MARCH 11, 2021

A data silo typically consists of stored data that is not available to the entire organization, but only to some parts of it, such as departments, teams, or even individual employees, and is thus siloed within the organization. They are contrary to the approach of a data warehouse.

Sales 80

Sales Optimization Digital Transformation Data Warehouse 80

Jet Global

MARCH 6, 2020

Today, manufacturers depend on data for analysis to improve productivity, drive supply chain efficiencies, increase customer engagement, and help increase greater levels of automation. . Source: “ Manufacturing’s Digital Transformation: Is Your Company Leading the Way or Falling Behind?” . Mind the Gap.

Manufacturing 75

Manufacturing Data-driven Finance KPI 75

Sisense

FEBRUARY 24, 2021

Challenge: CDOs need to provide a 360-degree view of data across multiple data silos and types of data sitting on the cloud, on-premises, or even in local drives. Many large organizations either have a central data warehouse or are in the process of creating one.

Data Warehouse 69

Data Warehouse Big Data Metrics Visualization 69

Ontotext

FEBRUARY 26, 2024

Firstly, on the data maturity spectrum, the vast majority of organizations I’ve spoken with are stuck in the information stage. They have massive amounts of data they’re collecting and storing in their relational databases, document stores, data lakes, and data warehouses. Let’s summarize very quickly.

Technology 52

Technology Cost-Benefit Data-driven Metadata 52

AWS Big Data

NOVEMBER 14, 2023

However, in many organizations, data is typically spread across a number of different systems such as software as a service (SaaS) applications, operational databases, and data warehouses. Such data silos make it difficult to get unified views of the data in an organization and act in real time to derive the most value.

IoT 55

IoT Data-driven Data Lake Data Strategy 55

Alation

JUNE 9, 2021

We have an explosion, not only in the raw amount of data, but in the types of database systems for storing it ( db-engines.com ranks over 340) and architectures for managing it (from operational datastores to data lakes to cloud data warehouses). Organizations are drowning in a deluge of data.

Data Governance 59

Data Governance Data-driven Machine Learning Data Lake 59

Sisense

APRIL 2, 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-driven 59

Data-driven Cost-Benefit Sales Digital Transformation 59

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 68

Big Data Data Warehouse Advertising OLAP 68