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 137

Data Strategy Strategy Sales Data Governance 137

CIO Business Intelligence

JUNE 23, 2023

According to the MIT Technology Review Insights Survey, an enterprise data strategy supports vital business objectives including expanding sales, improving operational efficiency, and reducing time to market. The problem is today, just 13% of organizations excel at delivering on their data strategy.

Data Strategy 116

Data Strategy Strategy Visualization Consulting 116

IBM Big Data Hub

JANUARY 5, 2023

Poor data quality is one of the top barriers faced by organizations aspiring to be more data-driven. Ill-timed business decisions and misinformed business processes, missed revenue opportunities, failed business initiatives and complex data systems can all stem from data quality issues.

Data Architecture 52

Data Architecture Data Quality Strategy Data Lake 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 71

Strategy Business Objectives Cost-Benefit Consulting 71

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 102

Data Strategy Strategy Data Warehouse Prescriptive Analytics 102

BizAcuity

NOVEMBER 13, 2024

Business intelligence consulting services offer expertise and guidance to help organizations harness data effectively. Beyond mere data collection, BI consulting helps businesses create a cohesive data strategy that aligns with organizational goals.

Consulting 52

Consulting Data-driven Cost-Benefit Business Intelligence 52

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 Data Governance 131

datapine

DECEMBER 17, 2019

The IT management report of today will help you make more informed, more powerful decisions, do your job effectively, and develop exciting new growth strategies. To put the power of digital data reporting into perspective, we’ll explore the role of IT reporting, its numerous benefits, and a mix of real-life IT reports examples.

Reporting 173

Reporting IT Key Performance Indicator Dashboards 173

erwin

JULY 12, 2019

So it’s important to understand how to use strategic data governance to manage the complexity of regulatory compliance and other business objectives … Designing and Operationalizing Regulatory Compliance Strategy.

Data Governance 110

Data Governance Management Metadata Risk Management 110

CIO Business Intelligence

APRIL 6, 2022

By George Trujillo, Principal Data Strategist, DataStax. I’ve been a data practitioner responsible for the delivery of data management strategies in financial services, online retail, and just about everything in between. But established execution patterns help the operating model, strategy, and vision stay on track.

Cost-Benefit 135

Cost-Benefit Digital Transformation Data-driven Strategy 135

IBM Big Data Hub

FEBRUARY 9, 2023

The primary goal of any data governance program is to deliver against prioritized business objectives and unlock the value of your data across your organization. Realize that a data governance program cannot exist on its own – it must solve business problems and deliver outcomes.

Data Governance 76

Data Governance Business Objectives Data Quality Measurement 76

CIO Business Intelligence

AUGUST 13, 2024

Unleashing deep automation: Evolving enterprise intelligence Deep automation transcends traditional automation approaches, offering a holistic, adaptive, and evolutive strategy at the enterprise and ecosystem level. Implement robust risk assessment and mitigation strategies encompassing automation initiatives.

Data-driven 130

Data-driven Metrics Optimization Machine Learning 130

CIO Business Intelligence

JANUARY 20, 2023

Blocking the move to a more AI-centric infrastructure, the survey noted, are concerns about cost and strategy plus overly complex existing data environments and infrastructure. 2] Foundational considerations include compute power, memory architecture as well as data processing, storage, and security. 1] [link]. [2]

Analytics 137

Analytics Key Performance Indicator Unstructured Data Deep Learning 137

IBM Big Data Hub

JUNE 30, 2022

The rise of data strategy. There’s a renewed interest in reflecting on what can and should be done with data, how to accomplish those goals and how to check for data strategy alignment with business objectives. The evolution of a multi-everything landscape, and what that means for data strategy.

Data Strategy 56

Data Strategy Strategy Business Objectives Data-driven 56

CIO Business Intelligence

NOVEMBER 13, 2023

Failure to align technology capabilities with business goals can result in a wasted investment in technology that doesn’t support business objectives. Transformational leaders must ensure their organizations have the right systems and processes in place to collect, store, and analyze data effectively.

Digital Transformation 143

Digital Transformation Cost-Benefit Experimentation Measurement 143

Alation

MARCH 14, 2023

Data gathering and use pervades almost every business function these days — and it’s widely acknowledged that businesses with a clear strategy around data are best placed to succeed in competitive, challenging markets such as defence. What is a data strategy? Why is a data strategy important?

Data Strategy 52

Data Strategy Strategy Metadata Data Quality 52

BI-Survey

FEBRUARY 17, 2020

Data and data management processes are everywhere in the organization so there is a growing need for a comprehensive view of business objects and data. It is therefore vital that data is subject to some form of overarching control, which should be guided by a data strategy.

Data Governance 89

Data Governance Data Warehouse Data Quality Data Strategy 89

AWS Big Data

AUGUST 1, 2024

Migrating to Amazon Redshift offers organizations the potential for improved price-performance, enhanced data processing, faster query response times, and better integration with technologies such as machine learning (ML) and artificial intelligence (AI). For more details, see Strangler Fig Application.

Data Warehouse 114

Data Warehouse KPI Optimization Cost-Benefit 114

Alation

DECEMBER 15, 2021

Yet high-volume collection makes keeping that foundation sound a challenge, as the amount of data collected by businesses is greater than ever before. An effective data governance strategy is critical for unlocking the full benefits of this information. What is a Data Governance Strategy?

Data Governance 52

Data Governance Strategy Metadata Data Strategy 52

CIO Business Intelligence

APRIL 4, 2024

To keep up, Redmond formed a steering committee to identify opportunities based on business objectives, and whittled a long list of prospective projects down to about a dozen that range from inventory and supply chain management to sales forecasting. “We We don’t want to just go off to the next shiny object,” she says.

Enterprise 134

Enterprise Cost-Benefit Forecasting Sales 134

Ontotext

FEBRUARY 12, 2024

Usually, organizations will combine different domain topologies, depending on the trade-offs, and choose to focus on specific aspects of data mesh. Once accomplished, an effective implementation spurs a mindset in which organizations prioritize and value data for decision-making, formulating strategies, and day-to-day operations.

Data-driven 59

Data-driven Data Lake Data Quality Business Objectives 59

BizAcuity

APRIL 1, 2023

However, many businesses seem to face a lot of challenges, which includes ensuring a ‘single source of truth’ across the organization. Several large organizations have faltered on different stages of BI implementation, from poor data quality to the inability to scale due to larger volumes of data and extremely complex BI architecture.

Business Intelligence 52

Business Intelligence Consulting KPI Data Warehouse 52

BizAcuity

JANUARY 31, 2023

However, many businesses seem to face a lot of challenges, which includes ensuring a ‘single source of truth’ across the organization. Several large organizations have faltered on different stages of BI implementation, from poor data quality to the inability to scale due to larger volumes of data and extremely complex BI architecture.

Business Intelligence 52

Business Intelligence Consulting KPI Data Warehouse 52

Wayne Yaddow

FEBRUARY 18, 2025

Selecting the strategies and tools for validating data transformations and data conversions in your data pipelines. Introduction Data transformations and data conversions are crucial to ensure that raw data is organized, processed, and ready for useful analysis.

Testing 52

Testing Data Transformation Data-driven Data Quality 52

Anmut

AUGUST 18, 2022

The goal of data investment. What is the goal when your business invests in data? There are several responses you might give: maybe you want to improve data quality, to enable better analytics, or to support better decision-making. The rise of (in)effective data investment. What’s going on here?

Business Objectives 52

Business Objectives Data Quality Risk Strategy 52

bridgei2i

JUNE 23, 2021

These include:lack of understanding of the business-centric use cases of AI, IT gaps,lack of skilled employees, issues in data quality, and resistance to incorporate new technologies into the framework. An AI Consulting Company provides support to organizations to build the right data strategy for AI implementation.

Consulting 52

Consulting Key Performance Indicator Business Objectives Data Strategy 52

FineReport

APRIL 9, 2024

Additionally, BI tools enable organizations to adopt a data-driven approach to strategy formulation, leading to more informed decision-making at all levels. The implementation empowered the organization with predictive modeling capabilities, enabling proactive risk mitigation and personalized customer engagement strategies.

Business Intelligence 52

Business Intelligence Software Data-driven Predictive Modeling 52

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. Data quality, availability, and security. CDOs work to ensure data across the organization is clean and correct.

Data-driven 52

Data-driven Data Strategy Strategy Business Objectives 52

Alation

AUGUST 26, 2021

Under an active data governance framework , a Behavioral Analysis Engine will use AI, ML and DI to crawl all data and metadata, spot patterns, and implement solutions. Data Governance and Data Strategy. In other words, leaders are prioritizing data democratization to ensure people have access to the data they need.

Metadata 64

Metadata Data Governance Dashboards Software 64

Ontotext

SEPTEMBER 1, 2023

Otherwise, they are like a black box, where very little is known as to how they arrive at answers and responses and organizations can lose control of private data, GenAI pipelines can get compromised, or applications can be attacked in subtle ways by hackers.

Risk 52

Risk Modeling Data Quality Data Governance 52

CIO Business Intelligence

FEBRUARY 20, 2023

To earn the Salesforce Data Architect certification , candidates should be able to design and implement data solutions within the Salesforce ecosystem, such as data modelling, data integration and data governance. Candidates with this credential also have the expertise to lead innovation across product lifecycles.

B2B 87

B2B Consulting Sales Cost-Benefit 87

Ontotext

MAY 16, 2024

For companies who are ready to make the leap from being applications-centric to data-centric – and for companies that have successfully deployed single-purpose graphs in business silos – the CoE can become the foundation for ensuring data quality, interoperability and reusability.

Enterprise 52

Enterprise Data-driven Cost-Benefit Business Objectives 52

DataRobot Blog

MAY 26, 2022

In this post, we will dive deeper into how members from both the first and second line of defense within a financial institution can adapt their model validation strategies in the context of modern ML methods. Conceptual Soundness of the Model.

Risk 52

Risk Modeling Metrics Business Objectives 52

Alation

NOVEMBER 23, 2021

Detach the governance system from systems used to consume data, thereby decreasing its operational relevance. End up spinning out big-bang projects that too often spiral out of control and fail to deliver on business objectives. Organizations are governing data already, simply informally. Creates Shared Processes.

Data Governance 52

Data Governance Data-driven Data Processing Metrics 52

O'Reilly on Data

JULY 28, 2020

One mid-sized digital media company we interviewed reported that their Marketing, Advertising, Strategy, and Product teams once wanted to build an AI-driven user traffic forecast tool. Internally, AI PMs must engage stakeholders to ensure alignment with the most important decision-makers and top-line business metrics.

Marketing 364

Marketing Experimentation Metrics Testing 364

CIO Business Intelligence

OCTOBER 2, 2024

An AI policy serves as a framework to ensure that AI systems align with ethical standards, legal requirements and business objectives. While this leads to efficiency, it also raises questions about transparency and data usage. Data governance Strong data governance is the foundation of any successful AI strategy.

Gap analysis 119

Gap analysis Risk Manufacturing Data Governance 119

DataKitchen

NOVEMBER 27, 2024

A Guide to the Six Types of Data Quality Dashboards Poor-quality data can derail operations, misguide strategies, and erode the trust of both customers and stakeholders. However, not all data quality dashboards are created equal. The issue lies in the abstraction of these dimensions.

Data Quality 216

Data Quality Dashboards Metrics Cost-Benefit 216