CIO Business Intelligence

MAY 10, 2023

My team and I are very proud of our transformation that started in 2019,” she says. Yet if we come across an ERP that’s not necessarily mainstream, they’ll have challenges getting into the back end, and integrating and understanding the relational data to connect it to our central data lake.

Data-driven 106

Data-driven IT Digital Transformation Data Governance 106

CIO Business Intelligence

APRIL 29, 2022

Preparing for an artificial intelligence (AI)-fueled future, one where we can enjoy the clear benefits the technology brings while also the mitigating risks, requires more than one article. This first article emphasizes data as the ‘foundation-stone’ of AI-based initiatives. Establishing a Data Foundation. era is upon us.

Data Governance 145

Data Governance IT Risk Data Lake 145

AWS Big Data

DECEMBER 21, 2023

To bring their customers the best deals and user experience, smava follows the modern data architecture principles with a data lake as a scalable, durable data store and purpose-built data stores for analytical processing and data consumption.

Data Lake 88

Data Lake Data Warehouse Data-driven B2B 88

Cloudera

NOVEMBER 18, 2021

By adopting a custom developed application based on the Cloudera ecosystem, Carrefour has combined the legacy systems into one platform which provides access to customer data in a single data lake. In doing so, Bank of the West has modernized and centralized its Big Data platform in just one year. Data for Good.

Data Lake 75

Data Lake Cost-Benefit Digital Transformation Risk 75

CIO Business Intelligence

DECEMBER 13, 2022

“We’ve been working to enable world-class integrated care at scale and transform the delivery of care at each point of a patient’s journey,” says Alan Cullop, SVP & CIO at DaVita. “Our A lot of innovation initiatives right now are small and more closely aligned with tangible results.

Strategy 98

Strategy Technology Digital Transformation Data Lake 98

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

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. A lot of people in our audience are looking at implementing data lakes or are in the middle of big data lake initiatives.

Data-driven 52

Data-driven Data Lake Enterprise Analytics 52

erwin

OCTOBER 8, 2020

No less daunting, your next step is to re-point or even re-platform your data movement processes. And you can’t risk false starts or delayed ROI that reduces the confidence of the business and taint this transformational initiative. More and more companies are looking at cloud migration. Subscribe to the erwin Expert Blog.

Data Governance 145

Data Governance Metadata Testing Data Lake 145

Cloudera

AUGUST 18, 2021

Data Lifecycle Management: The Key to AI-Driven Innovation. In digital transformation projects, it’s easy to imagine the benefits of cloud, hybrid, artificial intelligence (AI), and machine learning (ML) models. The hard part is to turn aspiration into reality by creating an organization that is truly data-driven.

Data Lake 87

Data Lake IoT Internet of Things Data-driven 87

Cloudera

SEPTEMBER 10, 2020

Digital transformation has been on the agenda for a long time, but the sudden need to respond to the unprecedented challenges of 2020, has meant the buzzword has become an executable reality for many enterprises. Underlying digital transformation and investment decisions is a precious asset: data.

IT 103

IT Digital Transformation Business Objectives Data-driven 103

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. Enterprise Data Cloud: West Midlands Police — WMP public cloud data platform allows fast data insights and positive community interventions

Digital Transformation 67

Digital Transformation Machine Learning Optimization Data Lake 67

CIO Business Intelligence

FEBRUARY 28, 2024

Digital transformation refers to using technology to fundamentally change how your organization operates and delivers value to your customers and stakeholders. You may not have started your digital transformation at all and feel unsure where to start. What are the implications for your digital transformation?

Digital Transformation 52

Digital Transformation IoT Cost-Benefit Data Lake 52

Cloudera

NOVEMBER 18, 2020

The Bank has been continually preparing its entire workforce and infrastructure, spread across 500 offices, for the digital future. The technological linchpin of its digital transformation has been its Enterprise Data Architecture & Governance platform. Data Champions . Winner: OVO.

Internet Publishing and Broadcasting 121

Internet Publishing and Broadcasting Data-driven Broadcasting Digital Transformation 121

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 116

Cost-Benefit Internet of Things Data-driven Data Lake 116

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

Grooper

MARCH 5, 2020

However, if you haven’t explicitly defined what information stewardship is, or there is some confusion regarding roles and responsibilities for your precious data – your data-related projects are at a high risk for failure. Lower cost data processes. More effective business process execution.

Data Lake 98

Data Lake Metadata Data Quality Software 98

Alation

JUNE 14, 2021

We discuss how they are running the business of IT and cover subjects like digital transformation, business/IT alignment, IT leadership, and leading innovation. Recently, I dug in with CIOs on the topic of data security. What came as no surprise was the importance CIOs place on taking a broader approach to data protection.

Data Governance 97

Data Governance Recreation/Entertainment Data Lake Digital Transformation 97

Alation

FEBRUARY 13, 2020

Figure 1 illustrates the typical metadata subjects contained in a data catalog. Figure 1 – Data Catalog Metadata Subjects. Datasets are the files and tables that data workers need to find and access. They may reside in a data lake, warehouse, master data repository, or any other shared data resource.

Metadata 64

Metadata Data Lake Recreation/Entertainment Big Data 64

Alation

OCTOBER 21, 2021

Data Swamp vs Data Lake. When you imagine a lake, it’s likely an idyllic image of a tree-ringed body of reflective water amid singing birds and dabbling ducks. I’ll take the lake, thank you very much. Many organizations have built a data lake to solve their data storage, access, and utilization challenges.

Data Lake 52

Data Lake Metadata Data Warehouse Data Governance 52

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

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 buyers in 2016?

Technology 45

Technology Internet of Things Digital Transformation Software 45

Sisense

MARCH 24, 2020

Dashboards democratize data and they both promote and enable an effective data-driven culture” Driving business impact by exploring corporate storytelling. When you have masses of data, you need to make it meaningful. They’re the key to effective data storytelling in business. That’s what dashboards do.

Dashboards 90

Dashboards IT Visualization Data Lake 90

Alation

APRIL 18, 2023

Data migration Digital transformation is ongoing. To achieve this, these developers need to build data pipelines that migrate data. Do you need to define a data quality rule and add that to the profile? Do you need to add metadata to information to put it in a data lake?

IT 52

IT Metadata Data Quality Data Governance 52

BizAcuity

MARCH 1, 2019

At the backend, based on the data collected, data is stored in data lakes. Such data is collected from hundreds, thousands and millions of users. Then AI/ML algorithms are run on this collected data. to make better decisions and risk assessments. IoT, Artificial Intelligence and Healthcare.

IoT 56

IoT Internet of Things Big Data Data-driven 56

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 121

IT Digital Transformation Data Warehouse Risk 121

Andrew White

JANUARY 11, 2021

But we also know not all data is equal, and not all data is equally valuable. Some data is more a risk than valuable. Additionally, the value of data may change, and our own personal judgement of the the same data and its value may differ. Risk Management (most likely within context of governance).

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52

Alation

FEBRUARY 13, 2020

It concerns me that a similar approach has taken over the IT world with the recent avalanche of “digital transformation” initiatives being kicked-off in major enterprises. Digital transformation” is often described as technology-led innovation, but innovation for innovation’s sake can run you into the ground, a la Gibson.

Digital Transformation 59

Digital Transformation Insurance Data-driven Machine Learning 59

Alation

MARCH 21, 2023

Data security The travel industry collects, transmits, processes, and stores a wide range of personally identifiable information (PII) from customers, which are of interest to bad actors, as cybercriminals target this valuable data. Otherwise, they risk a data privacy violation.

Data Analytics 52

Data Analytics Analytics Data-driven Big Data 52

CIO Business Intelligence

MAY 12, 2022

These are goals that digital enterprises strive for regardless of industry segment. In the hyper-competitive telecommunications market, companies that don’t achieve these superlatives risk being left in the dust by competitors. Everyone has data lakes, data ponds – whatever you want to call them.

Testing 96

Testing Data Lake Advertising Marketing 96

CIO Business Intelligence

MARCH 6, 2023

Advancements in analytics and AI as well as support for unstructured data in centralized data lakes are key benefits of doing business in the cloud, and Shutterstock is capitalizing on its cloud foundation, creating new revenue streams and business models using the cloud and data lakes as key components of its innovation platform.

Data Lake 65

Data Lake Cost-Benefit Recreation/Entertainment Experimentation 65

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

erwin

DECEMBER 13, 2018

Business process will move from back office to center stage: Business process management will make its way out of the back office and emerge as a key component to digital transformation. Turning bad AI/ML data good : Artificial Intelligence (AI) and Machine Learning (ML) are consumers of data.

Data Governance 91

Data Governance IoT Internet of Things Data-driven 91

IBM Big Data Hub

AUGUST 4, 2023

Data democratization, much like the term digital transformation five years ago, has become a popular buzzword throughout organizations, from IT departments to the C-suite. It’s often described as a way to simply increase data access, but the transition is about far more than that.

Data Architecture 65

Data Architecture Data Lake Machine Learning Data Governance 65

CIO Business Intelligence

AUGUST 3, 2023

But reaching all these goals, as well as using enterprise data for generative AI to streamline the business and develop new services, requires a proper foundation. Each of the acquired companies had multiple data sets with different primary keys, says Hepworth. “We

Analytics 95

Analytics Data Lake Metadata Cost-Benefit 95

Alation

JANUARY 27, 2022

As an organization embraces digital transformation , more data is available to inform decisions. To use that data, decision-makers across the company will need to have access. Data analytics is a way to make sense of raw data. Raw data includes market research, sales data, customer transactions, and more.

Data Governance 52

Data Governance Analytics Cost-Benefit Data-driven 52