CIO Business Intelligence

AUGUST 17, 2023

A legacy issue When you’re in charge of digital transformation at a business that’s been around for over 120 years, legacy-related issues are unavoidable. He cites a data management project he’s currently working on, which is a key component in his current IT transformation strategy. It was that simple.”

Data Warehouse 76

Data Warehouse Cost-Benefit Digital Transformation Strategy 76

CIO Business Intelligence

NOVEMBER 23, 2022

Modern EA strategies now extend this philosophy to the entire business, not just IT, to ensure the business is aligned with digital transformation strategies and technological growth. Data warehouse. Data modeling. Artificial intelligence (AI). Microsoft Azure. Business intelligence. Strategy development.

Enterprise 118

Enterprise Cost-Benefit Digital Transformation Strategy 118

erwin

APRIL 2, 2021

With more companies increasingly migrating their data to the cloud to ensure availability and scalability, the risks associated with data management and protection also are growing. Data Security Starts with Data Governance. Lack of a solid data governance foundation increases the risk of data-security incidents.

Data Governance 106

Data Governance Cost-Benefit Risk Metadata 106

Cloudera

JANUARY 28, 2022

Are you seeking to improve the speed of regulatory reporting, enhance credit decisioning, personalize the customer journey, reduce false positives, reduce data warehouse costs? What data do I need to achieve these objectives? Managing Cloud Concentration Risk. What are your business goals, what are you trying to achieve?

Slice and Dice 115

Slice and Dice Cost-Benefit Risk Data Governance 115

erwin

FEBRUARY 13, 2020

Therefore, most enterprises have encountered difficulty trying to master data governance and metadata management, but they need a solid data infrastructure on which to build their applications and initiatives. Data Governance Attitudes Are Shifting. Metadata Management Takes Time.

Metadata 135

Metadata Data Governance Management Cost-Benefit 135

Timo Elliott

OCTOBER 3, 2019

And because if companies or IT departments don’t implement them, they risk losing their roles to someone who will! Karsten Ruf , in turn, took the audience through the detailed SAP roadmap around BW4/HANA V2 and the brand-new SAP Data Warehouse cloud. ” Digital transformation applies to SAP, too!

Data Warehouse 69

Data Warehouse Digital Transformation Machine Learning Strategy 69

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

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. Read more about last years Data Impact Award winners. HYBRID & MULTI-CLOUD INNOVATION. SECURITY AND GOVERNANCE LEADERSHIP.

Digital Transformation 70

Digital Transformation Machine Learning Optimization Data Lake 70

Cloudera

JANUARY 26, 2022

Network operating systems let computers communicate with each other; and data storage grew—a 5MB hard drive was considered limitless in 1983 (when compared to a magnetic drum with memory capacity of 10 kB from the 1960s). The amount of data being collected grew, and the first data warehouses were developed.

Data Processing 87

Data Processing IoT Cost-Benefit Digital Transformation 87

CDW Research Hub

JULY 2, 2021

GDP is a leading data security platform for databases and data warehouses. Guardium Insights for Cloud Pak for Security enables improved visibility into user data activity and risk while also giving your team more flexibility to scale and shift with your data sources. Better together.

Cost-Benefit 52

Cost-Benefit Digital Transformation Data Warehouse Risk 52

Cloudera

OCTOBER 11, 2022

Let this sink in a while – AI at scale isn’t magic, it’s data. What these data leaders are saying is that if you can’t do data at scale , you can’t possibly do AI at scale. Which means no digital transformation. Risk increases. Data and AI projects cost more and take longer. Innovation stalls.

Snapshot 94

Snapshot Data Science Digital Transformation Metadata 94

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. They prevent you from drowning in data.

Business Intelligence 270

Business Intelligence Dashboards Data Warehouse Sales 270

Alation

APRIL 14, 2023

In “The modern data stack is dead, long live the modern data stack!” the presenters elaborated on the common pain points of the cloud data warehouse today and predicted what it may look like in the future. How can data leaders respond? Cloud costs are growing prohibitive.

Data Warehouse 52

Data Warehouse Data-driven Digital Transformation Metadata 52

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

erwin

DECEMBER 12, 2019

Is it sensitive or are there any risks associated with it? The Role of Metadata in Data Governance. As data continues to proliferate, so does the need for data and analytics initiatives to make sense of it all. Where did it come from? Where is it now? How has it changed since it was originally created or captured?

Metadata 84

Metadata Data Governance Digital Transformation Data Quality 84

erwin

APRIL 27, 2022

In data warehousing, the data is extracted and transported from production database(s) into a data warehouse for reporting and analysis. Change Data Capture identifies and processes only the data that has changed and stores the changed data in a form so as to be of further use.

Data Governance 52

Data Governance Digital Transformation Metadata Data Warehouse 52

IBM Big Data Hub

NOVEMBER 8, 2023

We are expanding IBM Db2 Warehouse on Power with a new Base Rack Express at a 30% lower entry list price, adding to today’s S, M and L configurations, while still providing the same total-solution experience, including Db2 Data Warehouse’s connectivity with watsonx.data to unlock the potential of data for analytics and AI.

Strategy 93

Strategy Data-driven Cost-Benefit Digital Transformation 93

AWS Big Data

MAY 28, 2024

The ingested data gets transformed and analyzed in near real time using Amazon Managed Service for Apache Flink. Stream data can further be enriched using lookup data hosted in a data warehouse such as Amazon Redshift.

IoT 91

IoT Analytics Dashboards Data-driven 91

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. Getting to the cloud, though, will require one more big project, with all of the cost, complexity, and risk that go along with such endeavors.

Cost-Benefit 98

Cost-Benefit Testing Finance Reporting 98

CIO Business Intelligence

SEPTEMBER 8, 2022

“The enormous potential of real-time data not only gives businesses agility, increased productivity, optimized decision-making, and valuable insights, but also provides beneficial forecasts, customer insights, potential risks, and opportunities,” said Krumova. This means that all changes, all transitions, are instantaneous.

Cost-Benefit 105

Cost-Benefit Internet of Things Data-driven Data Lake 105

erwin

DECEMBER 12, 2019

Is it sensitive or are there any risks associated with it? The Role of Metadata in Data Governance. As data continues to proliferate, so does the need for data and analytics initiatives to make sense of it all. Where did it come from? Where is it now? How has it changed since it was originally created or captured?

Metadata 52

Metadata Data Governance Digital Transformation Data Quality 52

In(tegrate) the Clouds

DECEMBER 21, 2015

Aside from the Internet of Things, which of the following software areas will experience the most change in 2016 – big data solutions, analytics, security, customer success/experience, sales & marketing approach or something else? 2016 will be the year of the data lake. What are the biggest risks for software vendors in 2016?

Technology 45

Technology Internet of Things Digital Transformation Software 45

Alation

JUNE 14, 2023

At the recent webinar Fifth Third’s Journey to Data Mesh with Alation and Snowflake Kaleigh Lavorini , director of product ownership and data strategy at Fifth Third , explains that many people don’t know whether they’re a data source owner, or even where their data goes or who uses it. That’s a problem!

Data-driven 52

Data-driven Finance Uncertainty Digital Transformation 52

Alation

FEBRUARY 13, 2020

We also have some primary insurance entities in the group, but the main thing about reinsurance is that we’re taking care of the big and complex risks in the world. Andreas Kohlmaier : Data has always been a core thing that our business users have worked with for more than one hundred years to really understand risk.

Data-driven 52

Data-driven Data Lake Enterprise Analytics 52

Cloudera

FEBRUARY 11, 2019

Ask a CIO where their focus lies and ‘digital transformation’ as well as ‘growth’ will come into the conversation quite quickly. In the next sections, we’ll reveal what else is needed as well as how to right-size governance of more than just data helps organizations achieve their objectives. Governing digital transformation.

Digital Transformation 57

Digital Transformation Data Governance Data Warehouse Data-driven 57

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-based insights are being used to automate decisions.

Digital Transformation 52

Digital Transformation Data Warehouse Data Lake Data-driven 52

CIO Business Intelligence

OCTOBER 19, 2022

CIOs at the center of digital transformation Even as I write this, I realize that my first three quotes are not from chief information officers, but from chief information digital officers. These “digital” executives typically manage the IT organization, but their title signifies something more. What about risk?

IT 112

IT Digital Transformation Data Warehouse Risk 112

Alation

FEBRUARY 13, 2020

A robust data catalog provides many other capabilities including support for data curation and collaborative data management, data usage tracking, intelligent dataset recommendations, and a variety of data governance features. Benefits of a Data Catalog. Improved data efficiency.

Metadata 64

Metadata Data Lake Recreation/Entertainment Big Data 64

DataRobot Blog

MARCH 28, 2023

Together these partners are uniquely positioned to help you de-risk and accelerate your journey up the AI maturity curve, and give you a strong foundation for operationalizing at scale with the DataRobot AI Platform. Learn more about these new innovations, and How DataRobot Integrates into a Broad Enterprise Technology Ecosystem (On-Demand).

Digital Transformation 52

Digital Transformation Consulting Data Warehouse Strategy 52

erwin

FEBRUARY 19, 2021

Is it sensitive or are there any risks associated with it? Metadata also helps your organization to: Discover data. Identify and interrogate metadata from various data management silos. Harvest data. Automate the collection of metadata from various data management silos and consolidate it into a single source.

Metadata 110

Metadata Management Data Quality Cost-Benefit 110

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

CIO Business Intelligence

OCTOBER 10, 2022

Connecting the sales, and financial data with production volume data and establishing a single centralized data warehouse enabled planners to understand the profit and loss impact of different planning scenarios. . Siloed processes and disconnected systems are the nightmares of businesses.

Enterprise 52

Enterprise Forecasting Descriptive Analytics Digital Transformation 52

Alation

OCTOBER 21, 2021

If you’re not using automated data maintenance and cataloging practices, it’s likely that your efforts won’t be able to maintain pace with your growing data lake. So what is a Data Lakehouse? At the risk of pushing this lake metaphor too far, a new approach to managing your data lake is through a data lakehouse.

Data Lake 52

Data Lake Metadata Data Warehouse Data Governance 52

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

Cloudera

SEPTEMBER 10, 2018

The other day, it struck me how similar this is to how organizations digitally transform and become data-driven. Your raw material is data instead of wood, and you use multidisciplinary analytics rather than woodworking tools like a hammer, saw, and sander. With SDX now on Altus, you have maximum cloud flexibility.

Analytics 40

Analytics Data Warehouse Cost-Benefit Metadata 40

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.

Technology 52

Technology Cost-Benefit Data-driven Metadata 52

erwin

JULY 17, 2019

Having a clearly defined digital transformation strategy is an essential best practice for successful digital transformation. But what makes a viable digital transformation strategy? Constructing A Digital Transformation Strategy: Data Enablement.

Digital Transformation 98

Digital Transformation Strategy Metadata Data-driven 98