CIO Business Intelligence

JANUARY 14, 2025

Current strategies to address the IT skills gap Rather than relying solely on hiring external experts, many IT organizations are investing in their existing workforce and exploring innovative tools to empower their non-technical staff. Using this strategy, LOB staff can quickly create solutions tailored to the companys specific needs.

Strategy 124

Strategy IT Marketing Technology 124

Analytics Vidhya

JUNE 26, 2023

95% of C-level executives deem data integral to business strategies. After all, it takes knowledge below the surface, unleashing greater possibilities, which is imperative for any organization to […] The post What is Data Management and Why is it Important? appeared first on Analytics Vidhya.

Management 322

Management IT Data Integration Strategy 322

CIO Business Intelligence

DECEMBER 20, 2024

Data architecture definition Data architecture describes the structure of an organizations logical and physical data assets, and data management resources, according to The Open Group Architecture Framework (TOGAF). In addition to using cloud for storage, many modern data architectures make use of cloud computing to analyze and manage data.

Data Architecture 122

Data Architecture Management Consulting Internet of Things 122

CIO Business Intelligence

NOVEMBER 21, 2024

Ninety percent of CIOs recently surveyed by Gartner say that managing AI costs is limiting their ability to get value from AI. Cost is certainly a concern when CIOs think about deploying gen AI, says Yuval Perlov, CTO at K2view, a data management vendor. Doing so can help ensure costs are manageable and the solution will scale.

Management 124

Management Interactive ROI Software 124

O'Reilly on Data

MARCH 31, 2020

If you’re already a software product manager (PM), you have a head start on becoming a PM for artificial intelligence (AI) or machine learning (ML). But there’s a host of new challenges when it comes to managing AI projects: more unknowns, non-deterministic outcomes, new infrastructures, new processes and new tools.

Management 363

Management Machine Learning Experimentation Metrics 363

CIO Business Intelligence

DECEMBER 11, 2024

This organism is the cornerstone of a companys competitive advantage, necessitating careful and responsible nurturing and management. This article proposes a methodology for organizations to implement a modern data management function that can be tailored to meet their unique needs.

Management 111

Management Data Governance Data Science Reporting 111

CIO Business Intelligence

NOVEMBER 19, 2024

Some challenges include data infrastructure that allows scaling and optimizing for AI; data management to inform AI workflows where data lives and how it can be used; and associated data services that help data scientists protect AI workflows and keep their models clean. I’m excited to give you a preview of what’s around the corner for ONTAP.

Management 116

Management Unstructured Data Deep Learning Metadata 116

AWS Big Data

APRIL 8, 2025

Icebergs concurrency model and conflict type Before diving into specific implementation patterns, its essential to understand how Iceberg manages concurrent writes through its table architecture and transaction model. Manage catalog commit conflicts Catalog commit conflicts are relatively straightforward to handle through table properties.

Snapshot 139

Snapshot Management Metadata Big Data 139

CIO Business Intelligence

MARCH 4, 2025

With AI agents poised to take over significant portions of enterprise workflows, IT leaders will be faced with an increasingly complex challenge: managing them. Analysts say the big three hyperscalers and cloud management vendors are aware of the gap and are working on it.

Management 119

Management IT Cost-Benefit Enterprise 119

Rocket-Powered Data Science

FEBRUARY 15, 2023

Third, any commitment to a disruptive technology (including data-intensive and AI implementations) must start with a business strategy. I suggest that the simplest business strategy starts with answering three basic questions: What? FUD occurs when there is too much hype and “management speak” in the discussions.

Strategy 290

Strategy Experimentation Uncertainty Machine Learning 290

CIO Business Intelligence

JANUARY 7, 2025

CRAWL: Design a robust cloud strategy and approach modernization with the right mindset Modern businesses must be extremely agile in their ability to respond quickly to rapidly changing markets, events, subscriptions-based economy and excellent experience demanding customers to grow and sustain in the ever-ruthless competitive world of consumerism.

Optimization 98

Optimization Strategy Cost-Benefit Enterprise 98

O'Reilly on Data

JUNE 27, 2023

Welcome to your company’s new AI risk management nightmare. The core idea of risk management is that you don’t win by saying “no” to everything. So let’s talk about some ways to manage that risk and position you for a reward. (Or, So, what do you do? I’ll share some ideas for mitigation.

Risk Management 321

Risk Management Risk Management Modeling 321

Analytics Vidhya

OCTOBER 25, 2023

Introduction Struggling with expanding a business database due to storage, management, and data accessibility issues? To steer growth, employ effective data management strategies and tools. This article explores data management’s key tool features and lists the top tools for 2023.

Management 220

Management Strategy Enterprise Analytics 220

CIO Business Intelligence

OCTOBER 9, 2024

While it may sound simplistic, the first step towards managing high-quality data and right-sizing AI is defining the GenAI use cases for your business. Optimizing GenAI with data management More than ever, businesses need to mitigate these risks while discovering the best approach to data management.

Strategy 143

Strategy Modeling Management Data Lake 143

datapine

OCTOBER 11, 2023

Every day, more and more businesses realize the value of analyzing their own performance to boost strategies and achieve their goals. This is no different in the logistics industry, where warehouse managers track a range of KPIs that help them efficiently manage inventory, transportation, employee safety, and order fulfillment, among others.

Metrics 217

Metrics KPI Management Cost-Benefit 217

CIO Business Intelligence

JANUARY 7, 2025

Transformational CIOs continuously invest in their operating model by developing product management, design thinking, agile, DevOps, change management, and data-driven practices. CIOs must also drive knowledge management, training, and change management programs to help employees adapt to AI-enabled workflows.

Digital Transformation 143

Digital Transformation Experimentation Cost-Benefit Strategy 143

datapine

FEBRUARY 9, 2024

Table of Contents 1) What Is KPI Management? 4) How to Select Your KPIs 5) Avoid These KPI Mistakes 6) How To Choose A KPI Management Solution 7) KPI Management Examples Fact: 100% of statistics strategically placed at the top of blog posts are a direct result of people studying the dynamics of Key Performance Indicators, or KPIs.

KPI 221

KPI Management Key Performance Indicator Measurement 221

CIO Business Intelligence

APRIL 10, 2025

Early response from customers has been guarded, as representatives of the German-speaking SAP User Group (DSAG) at this years Technology Days likened the new SAP strategy to a new game of call, raise, or fold. Moreover, several points of SAPs strategy still need to be clarified.

Strategy 73

Strategy Cost-Benefit Data Lake Modeling 73

Cloudera

NOVEMBER 13, 2024

Additionally, multiple copies of the same data locked in proprietary systems contribute to version control issues, redundancies, staleness, and management headaches. It leverages knowledge graphs to keep track of all the data sources and data flows, using AI to fill the gaps so you have the most comprehensive metadata management solution.

Metadata 90

Metadata Management Data Governance Data-driven 90

CIO Business Intelligence

APRIL 30, 2025

The cross-functional risk management team is also essential because you dont want to jeopardize your entire business over an AI pilot. So how did you manage all the data? United GPT, our internal chat GPT, assists managers to write evaluations. Talk us through a gen AI use case.

Strategy 82

Strategy Data Science Modeling Risk Management 82

CIO Business Intelligence

APRIL 30, 2025

Nobody blinks when a multi-billion-dollar merger prompts the creation of an integration management office (IMO). Surely, dedicated teams backed by real budgets were mobilized to deliver a seamless journey, define the target architecture and drive change management at scale. In fact, its expected. No less complex.

IT 119

IT Strategy Enterprise Consulting 119

AWS Big Data

NOVEMBER 19, 2024

The permission mechanism has to be secure, built on top of built-in security features, and scalable for manageability when the user base scales out. In this post, we show you how to manage user access to enterprise documents in generative AI-powered tools according to the access you assign to each persona.

Management 98

Management Metadata Manufacturing Testing 98

CIO Business Intelligence

JANUARY 21, 2025

As gen AI heads to Gartners trough of disillusionment , CIOs should consider how to realign their 2025 strategies and roadmaps. A human-centric approach helps with the change management efforts around using agentic AI while evaluating the benefits and risks.

Cost-Benefit 142

Cost-Benefit Data-driven Strategy Marketing 142

David Menninger's Analyst Perspectives

APRIL 23, 2025

But what if its real power lies in shaping workforce strategy, building community and driving transformation? They have the power to unify people, integrate business strategies and create a workplace where engagement and efficiency go hand in hand. HCM suites do more than manage processesthey foster workforce engagement.

Strategy 130

Strategy Optimization Technology Business Objectives 130

CIO Business Intelligence

APRIL 24, 2025

Companies are intrigued by AIs promise to introduce new efficiencies into business processes, but questions about costs, return on investment, employee experience and expectations, and change management remain important concerns. At the core of corporate AI adoption is a platform that can comprehensively manage these elements.

Finance 128

Finance Strategy Sales Risk 128

CIO Business Intelligence

NOVEMBER 18, 2024

Data silos, lack of standardization, and uncertainty over compliance with privacy regulations can limit accessibility and compromise data quality, but modern data management can overcome those challenges. Some of the key applications of modern data management are to assess quality, identify gaps, and organize data for AI model building.

Data-driven 111

Data-driven Machine Learning ROI Uncertainty 111

AWS Big Data

JANUARY 9, 2025

In our previous post Backtesting index rebalancing arbitrage with Amazon EMR and Apache Iceberg , we showed how to use Apache Iceberg in the context of strategy backtesting. Data management is the foundation of quantitative research. As mentioned earlier, 80% of quantitative research work is attributed to data management tasks.

Metadata 111

Metadata Snapshot Cost-Benefit Optimization 111

datapine

SEPTEMBER 29, 2022

1) What Is Data Quality Management? However, with all good things comes many challenges and businesses often struggle with managing their information in the correct way. Enters data quality management. What Is Data Quality Management (DQM)? Why Do You Need Data Quality Management? Table of Contents.

Data Quality 241

Data Quality Metrics Data-driven Management 241

CIO Business Intelligence

DECEMBER 2, 2024

Suboptimal integration strategies are partly to blame, and on top of this, companies often don’t have security architecture that can handle both people and AI agents working on IT systems. If they’re going to benefit from AI strategies, companies must address this foundation before they can effectively scale their gen AI initiatives.

ROI 136

ROI Cost-Benefit Metrics Strategy 136

Analytics Vidhya

AUGUST 8, 2024

Introduction Envision a reality where data is not just an array of figures but a tool that serves as the blueprint for all management decisions. This analysis can be used to optimize organizational strategy and processes. In this ever-changing environment, the data analyst becomes crucial. They convert raw data into usable analysis.

Optimization 306

Optimization Strategy Technology Management 306