CIO Business Intelligence

FEBRUARY 14, 2023

Streaming data technologies unlock the ability to capture insights and take instant action on data that’s flowing into your organization; they’re a building block for developing applications that can respond in real-time to user actions, security threats, or other events. Kubernetes, containers, and a cloud-native approach will help.

Data Strategy 115

Data Strategy Strategy Machine Learning Data-driven 115

CIO Business Intelligence

MARCH 4, 2024

In an era of business where every industry requires its stakeholders to be capable of quick pivots and sharp turns, siloed information that ultimately slows decision-making can be the ultimate vulnerability. In this way, data may just be the ultimate disruptor – a fact that the insurance industry knows all too well.

Insurance 97

Insurance Strategy Data Governance Data Integration 97

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 131

Data Strategy Data-driven Data Quality Strategy 131

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

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

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 141

Digital Transformation IT Data-driven Metrics 141

Smart Data Collective

FEBRUARY 15, 2022

Many don’t have a formal data strategy and even fewer have one that works. According to one study conducted last year, only 13% of companies are effectively delivering on their data strategies. There are a lot of reasons data strategies fail. How to Determine the Best Data to Use.

Big Data 109

Big Data Data Strategy Strategy Data Quality 109

TDAN

DECEMBER 5, 2023

Data professionals often talk about the importance of managing data and information as organizational assets, but what does this mean?[i] i] What is the actual business value of data and information? How do we manage data and information as assets? How can this value be measured?

Measurement 52

Measurement Management Data Quality Data Strategy 52

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. However, due to a lack of foundation to embed AI capabilities, companies cannot successfully leverage AI into their data and operational strategy.

Strategy 52

Strategy Enterprise Key Performance Indicator ROI 52

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 145

Data-driven Data Quality Strategy Reporting 145

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. Access policies to extract permissions based on relevant data and filter out results based on the prompt user role and permissions.

Data Governance 96

Data Governance Unstructured Data Metadata Data Lake 96

AWS Big Data

FEBRUARY 27, 2024

Governance and self-service – The Bluestone Data Platform provides a governed, curated, and self-service avenue for all data use cases. AWS services like AWS Lake Formation in conjunction with Atlan help govern data access and policies. It played a critical role in enforcing data access controls and implementing data policies.

Data-driven 95

Data-driven Data Lake Data Quality Data Governance 95

Smart Data Collective

DECEMBER 21, 2022

Big data technology has helped businesses make more informed decisions. A growing number of companies are developing sophisticated business intelligence models, which wouldn’t be possible without intricate data storage infrastructures. Unfortunately, some business analytics strategies are poorly conceptualized.

Business Analytics 111

Business Analytics Analytics Data Quality Big Data 111

CIO Business Intelligence

JANUARY 22, 2024

Key elements of this foundation are data strategy, data governance, and data engineering. A healthcare payer or provider must establish a data strategy to define its vision, goals, and roadmap for the organization to manage its data. This is the overarching guidance that drives digital transformation.

Unstructured Data 97

Unstructured Data Digital Transformation Data Strategy Modeling 97

Jen Stirrup

NOVEMBER 15, 2022

Information is pretty thin stuff, unless mixed with experience. Why do organizations get stuck with their data? Often, this problem can be due to the organization concentrating solely on technology and data. How can systems thinking and data science solve digital transformation problems? Information can be hard to find.

Data Science 145

Data Science Digital Transformation Data-driven Measurement 145

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?

Data Governance 85

Data Governance Business Objectives Strategy Data Quality 85

datapine

JANUARY 24, 2021

In our cutthroat digital age, the importance of setting the right data analysis questions can define the overall success of a business. That being said, it seems like we’re in the midst of a data analysis crisis. For example, you need to develop a sales strategy and increase revenue. Today, big data is about business disruption.

IT 317

IT Statistics KPI Data-driven 317

CIO Business Intelligence

APRIL 8, 2024

It also pulls data from practices, for a total of more than 500 million data points. Risk Mitigation Modeling can then be used to analyze training data and determine a player’s ideal training volume while minimizing injury risk. It’s really about having a mindset where you’re curious,” she says.

Analytics 114

Analytics Broadcasting Predictive Analytics Metrics 114

CIO Business Intelligence

JUNE 30, 2023

And we’ll let you in on a secret: this means nailing your data strategy. All of this renewed attention on data and AI, however, brings greater potential risks for those companies that have less advanced data strategies. But it all depends upon a solid, trusted data foundation.

Internet of Things 98

Internet of Things Strategy Data Strategy Risk 98

CIO Business Intelligence

APRIL 4, 2024

Early positive results At Eaton, a few PoCs are already generating results and they’ve used AI to consolidate information between more than 70 ERP systems globally. Webster Bank is following a similar strategy. The teams here must read and understand a lot of financial information, and it’s almost never in a standard format,” he says.

Enterprise 134

Enterprise Cost-Benefit Forecasting Strategy 134

Anmut

APRIL 6, 2023

By regularly conducting data maturity assessments, you can catch potential issues early and make proactive changes to supercharge your business’s success. A data maturity assessment can be a valuable tool for organisations looking to improve their data practices and make more informed business decisions.

Cost-Benefit 52

Cost-Benefit Data Quality Data Governance Measurement 52

Timo Elliott

JANUARY 6, 2022

The point of finding your dark data is to generate insight from it. To this end, SAP offers a wide range of tools that support the following capabilities: Data orchestration. Information landscapes are complex. 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

CIO Business Intelligence

NOVEMBER 2, 2023

Rapid advancements in artificial intelligence (AI), particularly generative AI are putting more pressure on analytics and IT leaders to get their houses in order when it comes to data strategy and data management. If you go out and ask a chief data officer, a head of IT, ‘Is your data strategy aligned?’,

Data Strategy 136

Data Strategy Strategy Sales Data Governance 136

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 129

Digital Transformation Strategy Data-driven Data Strategy 129

AWS Big Data

JULY 13, 2023

Data-Driven Everything engagement Altron has provided information technology services since 1965 across South Africa, the Middle East, and Australia. Data quality for account and customer data – Altron wanted to enable data quality and data governance best practices.

Optimization 90

Optimization B2B Data Quality Sales 90

TDAN

MAY 4, 2021

In this age of data being a precious and valuable resource, what data would you say is most important? Many people talk of the value of intellectual property, customer profile data, financial data, competitive data, and other types of data being invaluable, sometimes even more important than company revenues!

Data Quality 97

Data Quality Data Strategy Strategy Management 97

Anmut

MARCH 22, 2023

Data maturity models are a crucial step for any organisation looking to improve their data, informing if your current data practices are helping, or holding back, your business. ? Click the links below to navigate to different sections What are data maturity models?

Measurement 52

Measurement Modeling Data Quality Data Governance 52

erwin

SEPTEMBER 13, 2022

Come listen to data veterans in customer organizations as well as data best practices experts from IDC, Global Data Strategy, Ltd. Learn how to maximize the business impact of your data. The Importance of Data Intelligence to the Data-Driven Business.

Data Governance 52

Data Governance Data-driven Data Architecture Data Quality 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 59

Data-driven Enterprise Data Governance Data Lake 59

Data Virtualization

AUGUST 4, 2022

Reading Time: 3 minutes Last month, IDC announced that LeasePlan, a car-as-a-service company, was the winner of IDC’s European Data Strategy and Innovation awards, in the category of Data Management Excellence, for LeasePlan’s logical data fabric. This is a testament to the maturity of.

Data Strategy 52

Data Strategy Data Integration Strategy Management 52

Smart Data Collective

OCTOBER 4, 2021

Unfortunately, big data is only as useful as it is accurate. Data quality issues can cause serious problems in your big data strategy. Customers won’t always directly tell you the information your company needs to provide better products or services. It relies on data to drive its AI algorithms.

Big Data 114

Big Data Data Quality Advertising Interactive 114

IBM Big Data Hub

SEPTEMBER 7, 2022

Originally based on our books, The Chief Data Officer’s Playbook and Data-Driven Business Transformation , the program is now an interactive 10-week workshop that addresses data maturity, data strategy, data literacy, leadership, technology and more. Small victories lead to big ones.

Data Strategy 52

Data Strategy Strategy Data-driven Data Quality 52

Smarten

APRIL 19, 2024

Assisted Predictive Modeling and Auto Insights to create predictive models using self-guiding UI wizard and auto-recommendations The Future of AI in Analytics The C=suite executive survey revealed that 93% felt that data strategy is critical to getting value from generative AI, but a full 57% had made no changes to their data.

Analytics 57

Analytics Predictive Modeling KPI Machine Learning 57

TDAN

MAY 17, 2022

One of the greatest contributions to the understanding of data quality and data quality management happened in the 1980s when Stuart Madnick and Rich Wang at MIT adapted the concept of Total Quality Management (TQM) from manufacturing to Information Systems reframing it as Total Data Quality Management (TDQM).

Data Quality 52

Data Quality Manufacturing Management IT 52

Smart Data Collective

JANUARY 9, 2023

Whether it’s data about customer demographics , product colors that tend to sell better, or which cold email scripts are the most effective, organizations have the power to utilize data to help them inform their decision-making process in a variety of ways. Here is a strategic approach to maximize your data’s value.

Machine Learning 125

Machine Learning Software Strategy Marketing 125

Peter James Thomas

MAY 3, 2019

Collation of Data to provide Information. The Information created here is invaluable for both determining what has happened and discerning trends / turning points. Control of Data to ensure it is Fit-for-Purpose. Data Strategy. I will start at the top left and work across and then down.

Strategy 55

Strategy Data Architecture Data Quality Data Strategy 55

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 105

Unstructured Data Data Lake Prescriptive Analytics Digital Transformation 105