CIO Business Intelligence

MAY 2, 2023

Despite the best of intentions, CIOs and their organizations often struggle to deliver business outcomes from digital transformation strategies. And while KPMG reports that 72% of CEOs have aggressive digital investment strategies, McKinsey details a harsh reality that 70% of transformations fail. Five years ago, I shared that the No.

Digital Transformation 138

Digital Transformation IT Data-driven Metrics 138

Alation

OCTOBER 12, 2021

Enterprise data analytics enables businesses to answer questions like these. Having a data analytics strategy is a key to delivering answers to these questions and enabling data to drive the success of your business. Business strategy. Data engineering. We might have found some data but what does it mean?

Strategy 52

Strategy Enterprise Analytics Data Governance 52

CIO Business Intelligence

MAY 14, 2024

Like many public health agencies across the US, the King County Medical Examiner’s Office tracks drug overdose deaths to target interventions for populations at risk and save lives. In many cases, additional documents are involved in the process, such as toxicology reports.

Deep Learning 84

Deep Learning Machine Learning Reporting Experimentation 84

CIO Business Intelligence

APRIL 8, 2024

Working with partner Amazon Web Services (AWS), the NFL has developed Digital Athlete, a platform that uses computer vision and ML to predict which players are at the highest risk of injury based on plays and their body positions. million video frames and documents about 100 million locations and positions of players on the field.

Analytics 104

Analytics Broadcasting Predictive Analytics Metrics 104

CIO Business Intelligence

APRIL 4, 2024

This involves rigorous evaluation of potential benefits, risks, and costs associated with each AI initiative to ensure investments are prudent and aligned with our risk-return profile.” Webster Bank is following a similar strategy. Data is the lynchpin to AI success,” says Nafde. Diasio agrees. asks Srivastava.

Enterprise 132

Enterprise Cost-Benefit Forecasting Sales 132

AWS Big Data

AUGUST 14, 2023

At the same time, unstructured approaches to data mesh management that don’t have a vision for what types of products should exist and how to ensure they are developed are at high risk of creating the same effect through simple neglect. When do new data products get created, and who is allowed to create them?

Management 81

Management Risk Measurement Optimization 81

IBM Big Data Hub

DECEMBER 16, 2022

Their role has expanded from providing business intelligence to management, to ensuring high-quality data is accessible and useful across the enterprise. In other words, they must ensure that data strategy aligns to business strategy. But process and people can’t be ignored.

Enterprise 52

Enterprise Data Architecture Data-driven ROI 52

CIO Business Intelligence

OCTOBER 24, 2023

One easy step to get teams started on the right foot is to document and communicate a vision statement with stakeholders and selected end-users before beginning. AI is a fundamentally different set of technologies that requires a separate strategy and capabilities.” And a key facet of that is data management.

Digital Transformation 145

Digital Transformation Data-driven Business Objectives Strategy 145

Alation

JULY 15, 2022

I recently led an online session, Data Monetisation and Governance , looking at the evolution of data governance , defining data ethics (from the Turing Institute ), and touching on the balancing act between using data to monetise (by increasing revenue, decreasing spend, or mitigating risk) and meeting ethical obligations.

Cost-Benefit 89

Cost-Benefit Data Governance ROI Risk 89

AWS Big Data

FEBRUARY 29, 2024

Data is your generative AI differentiator, and a successful generative AI implementation depends on a robust data strategy incorporating a comprehensive data governance approach. Data governance is a critical building block across all these approaches, and we see two emerging areas of focus.

Data Governance 97

Data Governance Unstructured Data Metadata Data Lake 97

Cloudera

NOVEMBER 30, 2020

That growing dependence means a treasure trove of data — especially personally sensitive or identifiable data— is moving online. . But as data and regulation of data grows, compliance departments are seeing cuts, adding even more risk. Data Strategy . Cloudera Data Platform (CDP).

Data Strategy 66

Data Strategy Strategy Risk Data Architecture 66

Alation

SEPTEMBER 9, 2021

Establishing a data governance program can feel like an overwhelming task, especially at the beginning. But, when you have all of the data governance puzzle pieces in place, it allows for better business strategies and supports ongoing compliance programs. The Value of Data Governance in Banking. Data Strategy in Banking.

Data Governance 52

Data Governance Data Strategy Strategy Risk 52

erwin

JANUARY 17, 2020

Companies that want to advance artificial intelligence (AI) initiatives, for instance, won’t get very far without quality data and well-defined data models. With the right approach, data modeling promotes greater cohesion and success in organizations’ data strategies. But what is the right data modeling approach?

Data-driven 138

Data-driven Modeling Metadata Data Governance 138

Alation

NOVEMBER 22, 2022

Identifying structured and unstructured data. Setting data management policies, like tagging data. A comprehensive data governance strategy ensures that you have quality data so you can leverage insights for data-driven decision making. Why Is Data Governance In The Public Sector Important?

Data Governance 52

Data Governance Metadata Data-driven Unstructured Data 52

Alation

MARCH 28, 2023

With data becoming more prevalent in every industry, organisations have to determine how to not only manage it but also drive value from it. The MoD identify three key issues: firstly, that ‘Defence data operates in contractual, technical and behavioural silos’. Culturally, defence lacks recognition over the importance of data’.

Metadata 52

Metadata Data Strategy Data Quality Strategy 52

CIO Business Intelligence

MARCH 21, 2022

It’s especially poignant when we consider the extent to which financial data can steer business strategy for the better. Data virtualization – integrating data from multiple sources, across multiple applications and in multiple formats – provides a clear path to information unity here. Lost productivity.

Data-driven 111

Data-driven IT Finance Forecasting 111

CIO Business Intelligence

SEPTEMBER 14, 2022

technologies that fueled data strategies aimed at identifying inefficiencies, streamlining processes, and improving the ability to forecast and predict industry trends. Data scientists are critical in manufacturing because they help businesses collect, manage, and store relevant data for customers, clients, products, and services.

Manufacturing 115

Manufacturing IT Software Digital Transformation 115

CIO Business Intelligence

MARCH 8, 2023

The reality is many organisations still struggle with the data and analytics foundations required to progress down an advanced AI path. Infosys research found 63 per cent of AI models function at basic capability only, are driven by humans, and often fall short on data verification, data practices and data strategies.

Enterprise 52

Enterprise Data Governance Data Strategy Testing 52

AWS Big Data

JULY 28, 2023

Data dependencies – Personal data can be interconnected and intertwined with other data systems, making it challenging to remove specific data without impacting the integrity of functionality of other systems or processes. Ensuring the complete removal of data from all these copies and backups can be challenging.

Snapshot 86

Snapshot Metadata Measurement Data Warehouse 86

BI-Survey

NOVEMBER 23, 2021

The transactional data was stored in isolated data sets and initially served only one purpose, namely, to document the transaction that had taken place. Over time, enterprises realized that data is worth more. Data-based insights are being used to automate decisions. BARC RECOMMENDATION.

Digital Transformation 52

Digital Transformation Data Warehouse Data Lake Data-driven 52

Alation

MARCH 21, 2023

As an industry with tight margins, travel and tourism companies can use analytics to detect trends that help them reduce costs, decide future product and service offerings, and develop successful business strategies. What are common data challenges for the travel industry? Otherwise, they risk a data privacy violation.

Data Analytics 52

Data Analytics Analytics Data-driven Big Data 52

Alation

MAY 31, 2023

Their broad range of responsibilities include: Design and implement data architecture. Maintain data models and documentation. Ensure data security and compliance. Define data requirements and policies. Select and implement data tools and technologies. Identify and address data issues.

Data Governance 52

Data Governance Metadata Data Architecture Data Quality 52

datapine

JANUARY 24, 2021

It is not just important to gather all the existing information, but to consider the preparation of data and utilize it in the proper way, has become an indispensable value in developing a successful business strategy. That being said, it seems like we’re in the midst of a data analysis crisis.

IT 317

IT Statistics KPI Data-driven 317

Ontotext

MAY 2, 2024

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. Evolution of data approaches The data strategies we’ve had so far have led to a lot of challenges and pain points.

Metadata 52

Metadata Data Lake Data-driven Enterprise 52

Ontotext

MARCH 8, 2023

However, this information is typically stored in disparate locations, often hidden within departmental documents or applications. Use Case #4: Financial Risk Detection and Prediction The financial industry is made up of a network of markets and transactions. Which financial institutions have filed similar risk compliance issues?

Enterprise 52

Enterprise Knowledge Discovery Risk Data-driven 52

Alation

JULY 6, 2021

There are new ways to quickly and effectively overcome these data governance challenges. A person or team with influence must take responsibility for reducing data governance risks. They should have resources, tools for connectivity and integration, and insights into data usage and needs. No Data Leadership.

Data Governance 52

Data Governance Metadata Data Quality Risk 52

Alation

FEBRUARY 10, 2022

Data classification is necessary for leveraging data effectively and efficiently. Effective data classification helps mitigate risk, maintain governance and compliance, improve efficiencies, and help businesses understand and better use data. and “What data can be migrated to the cloud?”

Data Governance 52

Data Governance Risk Insurance Strategy 52

AWS Big Data

FEBRUARY 27, 2023

Data sharing is becoming an important element of an enterprise data strategy. AWS services like AWS Data Exchange provide an avenue for companies to share or monetize their value-added data with other companies. This pattern discusses an approach to sharing such documents.

Enterprise 87

Enterprise Publishing Data Lake Management 87

Sisense

JULY 23, 2021

Not only does it support the successful planning and delivery of each edition of the Games, but it also helps each successive OCOG to develop its own vision, to understand how a host city and its citizens can benefit from the long-lasting impact and legacy of the Games, and to manage the opportunities and risks created.

Unstructured Data 105

Unstructured Data Internet of Things Data-driven Data Processing 105

Cloudera

NOVEMBER 25, 2020

For example, it includes patient samples (blood, blood pressure, temperature, and more), patient information (age, gender, where they have lived, family situation, and other details), and treatment history, most of which is currently found only in paper documents.

Data Warehouse 58

Data Warehouse Unstructured Data Analytics Visualization 58

Grooper

AUGUST 19, 2019

Read on to learn how data literacy, information as a second language, and insight-driven analytics take digital strategy to a new level. C-level executives and professionals alike must learn to speak a new language - data. Master data management. Data governance. Scoring – i.e. profitability or risk.

Analytics 54

Analytics Machine Learning Data Science Data-driven 54

Jet Global

OCTOBER 4, 2023

Finance teams are under pressure to slash costs while playing a key role in data strategy, yet they are still bogged down by manual tasks, overreliance on IT, and low visibility on company data. This expansion of responsibilities is exacerbating the well-documented trend of finance team burnout, leading to undesirable turnover.

Finance 52

Finance Reporting Cost-Benefit Management 52

Domino Data Lab

APRIL 3, 2019

Probably the best one-liner I’ve encountered is the analogy that: DG is to data assets as HR is to people. Also, while surveying the literature two key drivers stood out: Risk management is the thin-edge-of-the-wedge ?for So we had three tiers providing a separation of concerns: presentation, logic, data. a second priority?at

Data Governance 84

Data Governance Machine Learning Metadata Big Data 84