CIO Business Intelligence

MARCH 4, 2024

The data mesh debate This is not to say that there is a consensus that data mesh is a universal solution. Stakeholders are currently waging an open debate across the industry of centralization versus federated data strategies.

Insurance 82

Insurance Strategy Data Governance Data Integration 82

CIO Business Intelligence

APRIL 4, 2024

Some prospective projects require custom development using large language models (LLMs), but others simply require flipping a switch to turn on new AI capabilities in enterprise software. “AI Webster Bank is following a similar strategy. Data is the lynchpin to AI success,” says Nafde. Diasio agrees.

Enterprise 128

Enterprise Cost-Benefit Forecasting Strategy 128

Alation

OCTOBER 5, 2021

Answers will differ widely depending upon a business’ industry and strategy for growth. The first step towards a successful data governance strategy is setting appropriate goals and milestones. Yet, so many companies today are still failing miserably in implementing data strategy and governance protocols.

Data Governance 96

Data Governance Strategy Data Quality Metrics 96

bridgei2i

JUNE 23, 2021

4 Key Elements of Enterprise AI Strategy. Enterprise AI harnesses advanced artificial intelligence techniques to deliver organizational data, knowledge, and information. Enterprise AI automates the end-to-end journey from data to value. The AI maturity level of each organization differs. Compliance.

Strategy 52

Strategy Enterprise Key Performance Indicator ROI 52

IBM Big Data Hub

DECEMBER 20, 2023

Without an AI strategy, organizations risk missing out on the benefits AI can offer. An AI strategy helps organizations address the complex challenges associated with AI implementation and define its objectives. What is an AI strategy? A successful AI strategy should act as a roadmap for this plan.

Strategy 79

Strategy Business Objectives Cost-Benefit Consulting 79

CIO Business Intelligence

MAY 7, 2024

That’s according to a recent report based on a survey of CDOs by AWS in conjunction with the Chief Data Officer and Information Quality (CDOIQ) Symposium. The CDO position first gained momentum around 2008, to ensure data quality and transparency to comply with regulations following the housing credit crisis of that era.

Data Strategy 120

Data Strategy Data-driven Data Quality Strategy 120

Ontotext

JANUARY 29, 2024

In 2023, data leaders and enthusiasts were enamored of — and often distracted by — initiatives such as generative AI and cloud migration. Without this, organizations will continue to pay a “bad data tax” as AI/ML models will struggle to get past a proof of concept and ultimately fail to deliver on the hype.

Strategy 52

Strategy Management Metadata Data-driven 52

IBM Big Data Hub

JUNE 8, 2022

Implementing the right data strategy spurs innovation and outstanding business outcomes by recognizing data as a critical asset that provides insights for better and more informed decision-making. Here are a few common data management challenges: Regulatory compliance on data use. Data quality.

Data-driven 58

Data-driven Enterprise Data Governance Data Lake 58

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 95

Data Governance Unstructured Data Metadata Data Lake 95

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 132

Digital Transformation IT Data-driven Metrics 132

CIO Business Intelligence

MARCH 27, 2023

They’re spending a lot of time on things like data quality, data management, things that might be tactical, helping with operational aspects of IT. Organizations are still investing in data and analytics functions. CDAOs must have a talent strategy that doesn’t count on hiring data and analytics talent ready-made.”

Data-driven 140

Data-driven Data Quality Strategy Reporting 140

TDAN

JANUARY 19, 2021

It’s been a while since I’ve written about the goals and objectives of an Enterprise Data Management (EDM) Program and how organizations achieve and sustain significant improvements in fundamental data management disciplines in their journey to Great Data. We’ll summarize the collective […].

Enterprise 52

Enterprise Strategy Management Data Quality 52

Ontotext

MARCH 8, 2023

Use Case #1: Customer 360 / Enterprise 360 Customer data is typically spread across multiple applications, departments, and regions. Each team and system need to keep diverse sets of data about their customers in order to play their specific role – inadvertently leading to siloed experiences.

Enterprise 52

Enterprise Knowledge Discovery Risk Data-driven 52

IBM Big Data Hub

FEBRUARY 9, 2023

Building a data governance program is an iterative and incremental process Step 1: Define your data strategy and data governance goals and objectives What are the business objectives and desired results for your organization? The structure of data governance can vary depending on the organization.

Data Governance 82

Data Governance Business Objectives Strategy Data Quality 82

CIO Business Intelligence

APRIL 29, 2022

The data-first transformation journey can appear to be a lengthy one, but it’s possible to break it down into steps that are easier to digest and can help speed you along the pathway to achieving a modern, data-first organization. Key features of data-first leaders. 5x more likely to be highly resilient in terms of data loss.

Digital Transformation 113

Digital Transformation Strategy Data-driven Data Strategy 113

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. It also helps you fix data quality problems so that you can separate the signal from the noise.

IT 133

IT Metadata Data-driven Data Governance 133

erwin

SEPTEMBER 13, 2022

Day one will feature presentations from industry experts and experienced data professionals on the initiatives and tactical measures being taken by data-driven enterprises to reap the benefits of data intelligence and governance. Learn how to maximize the business impact of your data.

Data Governance 52

Data Governance Data-driven Data Architecture Data Quality 52

CIO Business Intelligence

MARCH 27, 2024

Le aziende italiane investono in infrastrutture, software e servizi per la gestione e l’analisi dei dati (+18% nel 2023, pari a 2,85 miliardi di euro, secondo l’Osservatorio Big Data & Business Analytics della School of Management del Politecnico di Milano), ma quante sono giunte alla data maturity?

Data Governance 52

Data Governance Data Lake Data Strategy Data-driven 52

Anmut

MARCH 22, 2023

Anmut’s own clients estimate that poor data quality and availability causes at least 16% additional cost per year. Worse still, these organisations’ competitors are actually pouring twice as many resources into creating value from their data assets, giving them a massive advantage. What is the organisation trying to achieve?

Measurement 52

Measurement Modeling Data Quality Data Governance 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

AWS Big Data

APRIL 19, 2023

However, when a data producer shares data products on a data mesh self-serve web portal, it’s neither intuitive nor easy for a data consumer to know which data products they can join to create new insights. This is especially true in a large enterprise with thousands of data products.

Technology 80

Technology Data-driven Machine Learning Sales 80

Alation

JULY 15, 2022

Data ethics is both an imperative and an opportunity. New regulations covering data privacy and other ethical concerns require that enterprises govern internal data processes according to these new laws. Clearly, using private Facebook data collected in a nefarious manner to sway political elections is not ethical.

Cost-Benefit 89

Cost-Benefit Data Governance ROI Risk 89

bridgei2i

JUNE 23, 2021

AI can support three critical functions: automation of tasks, data-based insight generation, and building engagement between brand and customers. However, there are significant challenges that enterprises experience in embracing AI. Scale With Time.

Consulting 52

Consulting Key Performance Indicator Business Objectives Data Strategy 52

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

Octopai

APRIL 19, 2021

Strong metadata management enhances business intelligence which leads to more informed strategy and better performance. Donna Burbank is a Data Management Consultant and acts as the Managing Director at Global Data Strategy, Ltd. Top 10 sites, videos, or thought leaders that discuss metadata management in 2021.

Metadata 52

Metadata Management Business Intelligence Data Governance 52

Ontotext

SEPTEMBER 1, 2023

Enterprises worldwide are analyzing Generative AI capabilities and seeking ways to leverage them for a variety of use cases to improve their competitive edge and incorporate automation and efficiency. To avoid this, enterprises should consider: A comprehensive data strategy: to align data and AI initiatives with business objectives.

Risk 52

Risk Modeling Data Quality Data Governance 52

Cloudera

MAY 28, 2019

But rather as businesses look to operationalize machine learning capabilities at scale, they’ll turn increasingly to commercial platforms, with connectors to open source , where investments in enterprise features like collaboration, reuse, transparency, model management and data platform integration have been focused.

Data Science 48

Data Science Machine Learning Data Strategy Cost-Benefit 48

Sisense

MARCH 19, 2021

A lot of those remnants of the past remain in the position, but as the value of data has soared, a data executive’s success is increasingly tied to business goals. The changing demands placed on data executives. Data quality, availability, and security. Developing the modern data strategy.

Data-driven 52

Data-driven Data Strategy Strategy Business Objectives 52

Smart Data Collective

AUGUST 21, 2019

We combine tech with humans to provide scaled high-quality data,” founder, Nathaniel Gates told Austin Bulletin. Sisense is a company that is looking for more inventive ways to utilize data for enterprise products. Forrester recently named them as a leader in BI data analytics solutions.

Data Science 68

Data Science Big Data Data Strategy Risk 68

CIO Business Intelligence

FEBRUARY 16, 2023

“As the information layer gets mature, that’s where the ML and the AI will start seeing some green shoots,” he says, adding that although data transformation was a pressing need when he signed on in 2021, he wanted a more compelling vision to sell the board and business leaders on tackling it. The offensive side? That takes its own time.

Unstructured Data 102

Unstructured Data Data Lake Prescriptive Analytics Digital Transformation 102

Ontotext

SEPTEMBER 15, 2020

‘Data Fabric’ has reached where ‘Cloud Computing’ and ‘Grid Computing’ once trod. Data Fabric hit the Gartner top ten in 2019. Ontotext’s Platform for Enterprise Knowledge Graphs. In order to realize a Data Fabric, there are practical steps needed to bring knowledge graphs to enterprises.

Metadata 69

Metadata Knowledge Discovery Data Quality Strategy 69

TDAN

SEPTEMBER 5, 2023

Harnessing the power of data has become critical in today’s digital age when information is abundant and decision-making is critical in many aspects of business. Understanding your data may unearth hidden insights and move your business ahead, whether you’re a small startup or an established enterprise.

Data Analytics 128

Data Analytics Analytics Enterprise Data Quality 128

Octopai

JANUARY 31, 2021

Data lineage is an essential tool that among other benefits, can transform insights, help BI teams understand the root cause of an issue, as well as help achieve and maintain compliance. Through the use of data lineage, companies can better understand their data and its journey. TDWI – Philip Russom. Techcopedia.

Data Governance 57

Data Governance Data Processing Data Quality Metadata 57

IBM Big Data Hub

JANUARY 25, 2023

While operational data runs day-to-day business operations, gaining insights and leveraging data across business processes and workflows presents a well-known set of data governance challenges that technology alone cannot solve. Silos exist naturally when data is managed by multiple operational systems.

Data Governance 52

Data Governance Data-driven Strategy Management 52

AWS Big Data

MARCH 26, 2024

A Gartner Marketing survey found only 14% of organizations have successfully implemented a C360 solution, due to lack of consensus on what a 360-degree view means, challenges with data quality, and lack of cross-functional governance structure for customer data.

Data Strategy 69

Data Strategy Strategy Data Warehouse Prescriptive Analytics 69

CIO Business Intelligence

AUGUST 9, 2022

Data engineers are often responsible for building algorithms for accessing raw data, but to do this, they need to understand a company’s or client’s objectives, as aligning data strategies with business goals is important, especially when large and complex datasets and databases are involved.

Analytics 121

Analytics Data Science Statistics Unstructured Data 121

TDAN

APRIL 14, 2020

An organization’s Enterprise Data Management Strategy, which establishes an EDM Program, requires a corresponding sequence plan (aka, ‘roadmap’) describing initiatives and estimated timeline of the programs and projects it will undertake according to priorities aligned with the business strategy.

Strategy 59

Strategy Enterprise Management Data Quality 59