CIO Business Intelligence

NOVEMBER 21, 2023

Ask IT leaders about their challenges with shadow IT, and most will cite the kinds of security, operational, and integration risks that give shadow IT its bad rep. That’s not to downplay the inherent risks of shadow IT. There may be times when department-specific data needs and tools are required.

IT 137

IT Risk Cost-Benefit Risk Management 137

CIO Business Intelligence

MAY 8, 2024

Then we have to make sense of the data, massage it and import it in our system. The first is to reconcile the data. Our system has a mandatory data integrity check, so if you try to import the data that doesn’t reconcile, our system isn’t going to let you, so we don’t allow any shortcuts.

Risk 111

Risk Testing Strategy Technology 111

Business Over Broadway

SEPTEMBER 27, 2018

In this paper, I show you how marketers can improve their customer retention efforts by 1) integrating disparate data silos and 2) employing machine learning predictive analytics. Your marketing strategy is only as good as your ability to deliver measurable results. Data Integration as your Customer Genome Project.

Machine Learning 76

Machine Learning Data Integration Marketing Predictive Modeling 76

Octopai

JUNE 9, 2024

This challenge is especially critical for executives responsible for data strategy and operations. Here’s how automated data lineage can transform these challenges into opportunities, as illustrated by the journey of a health services company we’ll call “HealthCo.”

IT 52

IT Data-driven Data Strategy Predictive Analytics 52

BizAcuity

MAY 4, 2021

In today’s data-powered world with data fueling everything from essential management systems to customer-focused AI solutions , one thing that often gets in the way is data fragmentation. . Why Data integration plays a vital role for gaming companies? Enhances Player Retention. Customer Lifetime Value Optimization.

Data Integration 40

Data Integration Cost-Benefit Optimization Behavioral Analytics 40

CIO Business Intelligence

JANUARY 11, 2024

“Our internal data and adherence to process is where our focus is, and we don’t necessarily want to leap ahead until we feel like we have a stable footing there.” Ensuring data integrity is part of a broader governance approach organizations will require to deploy and manage AI responsibly. Artificial Intelligence

Enterprise 126

Enterprise Uncertainty Risk Management Reporting 126

CIO Business Intelligence

FEBRUARY 16, 2024

Today, it is not enough just to innovate within one’s own vertical; to truly exploit the power of GenAI to transform workflows and drive competitive advantage, CIOs need to look outside their own organizations to get the scale, domain expertise, and speed required to develop fully integrated solutions.

Strategy 137

Strategy Insurance Digital Transformation Enterprise 137

CIO Business Intelligence

MAY 14, 2024

Controlling escalating cloud and AI costs and preventing data leakage are the top reasons why enterprises are eying hybrid infrastructure as their target AI solution. That is a valid concern, but I think it pertains to some cloud providers more than others,” Randich says, noting that FINRA has one of the biggest data sets on AWS.

IT 143

IT Data Processing Enterprise Modeling 143

IBM Big Data Hub

JUNE 29, 2023

Integrated planning incorporates supply chain planning, demand planning, and demand forecasts so the company can quickly assess the impact on inventory levels, supply chain logistics, production plans, and customer service capacity. Data integration and analytics IBP relies on the integration of data from different sources and systems.

Key Performance Indicator 76

Key Performance Indicator Forecasting Sales Data Integration 76

IBM Big Data Hub

FEBRUARY 6, 2024

A cyberattack is any intentional effort to steal, expose, alter, disable or destroy data integrity through unauthorized access to a network, computer system or digital device. Stronger compliance: Heavily regulated sectors like healthcare and personal finance levy large financial penalties when customer data is breached.

Cost-Benefit 89

Cost-Benefit Testing Risk Strategy 89

Octopai

MAY 15, 2023

By analyzing this information, organizations can optimize their infrastructure and storage strategies, avoiding unnecessary storage costs and efficiently allocating resources based on data usage patterns. By conducting thorough impact analysis, organizations can mitigate the risks of costly errors and minimize the associated costs.

Data Quality 52

Data Quality Data Governance Data Integration Risk 52

CIO Business Intelligence

MARCH 24, 2023

The Data Management Association (DAMA) International defines it as the “planning, oversight, and control over management of data and the use of data and data-related sources.” Such a framework provides your organization with a holistic approach to collecting, managing, securing, and storing data.

Data Governance 142

Data Governance Management Metadata Data Quality 142

CIO Business Intelligence

JANUARY 9, 2024

[Our firm’s leaders] wanted to make sure there were guidelines in place to protect the company, its data, and its people.” To get past those points, Colisto worked to educate leaders about the capabilities and risks of AI, seeking to move the company from “no to know.” What is our appetite for risk and how do we address it?

IT 137

IT Risk Cost-Benefit Enterprise 137

Smart Data Collective

JUNE 1, 2022

The International Association of Privacy Professionals reports that there were 1,862 data breaches in 2021 alone. Organizations must make data security a top priority. Those that do not risk bankruptcy, as the costs of data breaches are horrifying. Rising Data Breaches Have Made Greater Data Security a Necessity.

Revenue Optimization 138

Revenue Optimization Measurement Marketing Interactive 138

FineReport

APRIL 9, 2024

Healthcare data governance plays a pivotal role in ensuring the secure handling of patient data while complying with stringent regulations. The implementation of robust healthcare data management strategies is imperative to mitigate the risks associated with data breaches and non-compliance.

Digital Transformation 52

Digital Transformation Business Intelligence Data-driven Visualization 52

IBM Big Data Hub

SEPTEMBER 6, 2023

Unanticipated risks Good budgeting plans for risks. Using an old budget can result in inadequate hedging strategies, poor financial decisions, exposure to unfavorable currency fluctuations or misjudged credit risks. Since data from different sources is instantly merged and processed, delays become a thing of the past.

Forecasting 83

Forecasting Marketing Risk Sales 83

AWS Big Data

APRIL 29, 2024

We show how Ranger integrates with Hadoop components like Apache Hive, Spark, Trino, Yarn, and HDFS, providing secure and efficient data management in a cloud environment. Join us as we navigate these advanced security strategies in the context of Kubernetes and cloud computing.

Management 97

Management Big Data Metadata Data Warehouse 97

IBM Big Data Hub

JANUARY 11, 2024

Failover and failback both use data replication and are widely used in DR strategies for data centers and communication networks. Some enterprises tolerate zero RPO by constantly performing data backup to a remote data center to ensure data integrity in case of a massive breach.

Cost-Benefit 94

Cost-Benefit Risk Enterprise Software 94

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. Data Integration : One of the fundamental aspects to consider is the ability of BI platforms to seamlessly integrate data from various sources.

Business Intelligence 52

Business Intelligence Software Data-driven Predictive Modeling 52

IBM Big Data Hub

MARCH 25, 2024

As described in the IBM Institute for Business Value study, an ad hoc “Frankenstein” like system that engages a variety of platforms and tools, can turn to a consolidated system and operating model to meet the increasing demand for more and more data integration, content generation, and intelligent automation.

Uncertainty 98

Uncertainty Cost-Benefit Risk Measurement 98

Cloudera

JUNE 1, 2021

Cloudera will benefit from the operating capabilities, capital support and expertise of Clayton, Dubilier & Rice (CD&R) and KKR – two of the most experienced and successful global investment firms in the world recognized for supporting the growth strategies of the businesses they back. Our strategy.

Uncertainty 144

Uncertainty Cost-Benefit Risk Strategy 144

CIO Business Intelligence

APRIL 29, 2022

Preparing for an artificial intelligence (AI)-fueled future, one where we can enjoy the clear benefits the technology brings while also the mitigating risks, requires more than one article. This first article emphasizes data as the ‘foundation-stone’ of AI-based initiatives. Establishing a Data Foundation. era is upon us.

Data Governance 145

Data Governance IT Risk Data Lake 145

Smart Data Collective

OCTOBER 26, 2023

AI poses a number of benefits and risks for modern businesses. One poll found that 56% of companies use AI to enhance their cybersecurity strategies. A successful breach can result in loss of money, a tarnished brand, risk of legal action, and exposure to private information.

Technology 91

Technology Risk Measurement IoT 91

erwin

JANUARY 11, 2019

The sad truth is that high-paid knowledge workers like data scientists spend up to 80 percent of their time finding and understanding source data and resolving errors or inconsistencies, rather than analyzing it for real value. And there’s control of that landscape to facilitate insight and collaboration and limit risk.

Data Governance 40

Data Governance Risk Metadata Management 40

O'Reilly on Data

DECEMBER 12, 2019

1] This includes C-suite executives, front-line data scientists, and risk, legal, and compliance personnel. These recommendations are based on our experience, both as a data scientist and as a lawyer, focused on managing the risks of deploying ML. That’s where remediation strategies come in. Data augmentation.

Machine Learning 197

Machine Learning Modeling Testing Risk Management 197

IBM Big Data Hub

JANUARY 10, 2024

Hybrid cloud has become the dominant approach for enterprise cloud strategies , but it comes with complexity and concerns over integration, security and skills. Hybrid cloud is also forcing a significant rethinking of how to secure and protect data and assets.

Data Processing 71

Data Processing Risk Modeling Cost-Benefit 71

Smarten

SEPTEMBER 28, 2022

Your business, like every other business in the world, has its own industry, domain and vertical concerns, and these concerns drive your competitive strategy, your products and your services. Predictive analytics uses sophisticated analytical methodologies to predict future outcomes based on historical data. Customer Churn.

Predictive Analytics 52

Predictive Analytics Analytics Predictive Modeling Forecasting 52

IBM Big Data Hub

JANUARY 15, 2024

And while no one digital transformation strategy will be like any other, here are some recurring trends that help organizations engage in successful digital transformation initiatives. Whether they use the public cloud, private cloud or multicloud environment, they are removing the onerous step of maintaining their own data centers.

Digital Transformation 70

Digital Transformation Internet of Things IoT Consulting 70

Smart Data Collective

SEPTEMBER 13, 2021

Implementing big data solutions can help investment managers navigate value investing safely. In this article, we will show you the use of the tools and the top reasons to hire Django developers to help you with big data integration. Main Types of Big Data. You now know understand the different types of big data.

Big Data 107

Big Data Forecasting Cost-Benefit Machine Learning 107

erwin

JANUARY 30, 2020

Constructing a Digital Transformation Strategy: How Data Drives Digital. I’m encouraged by these results as it tells us that enterprises are really beginning to embrace the power of data to shape their organizations. And close to 50 percent have deployed data catalogs and business glossaries. Stop Wasting Your Time.

Data Governance 145

Data Governance Metadata Cost-Benefit Digital Transformation 145

Ontotext

APRIL 6, 2023

This model is used in various industries to enable seamless data integration, unification, analysis and sharing. More and more companies are using them to improve a variety of tasks from product range specification and risk analysis to supporting self-driving cars.

Manufacturing 83

Manufacturing Cost-Benefit Knowledge Discovery Optimization 83

Octopai

FEBRUARY 26, 2024

Revolutionizing Data Management: Octopai’s Role in Data Cleansing and Business Efficiency In the digital age, where data is ubiquitously hailed as the new oil, its management goes beyond mere cleanliness to encompass strategic asset optimization.

Metadata 52

Metadata ROI Optimization Data-driven 52

CIO Business Intelligence

JULY 7, 2022

That’s partly because of increased risks and more privacy and compliance regulations, but also the number of checks and signoffs required is constantly growing. Automation is the most effective weapon that IT can leverage to onboard new IT technology vendors,” says David Linthicum, chief cloud strategy officer, Deloitte Consulting LLP.

IT 118

IT Consulting Software Technology 118

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

CIO Business Intelligence

FEBRUARY 7, 2023

Strong leadership ensures that vision, strategy, and goals aren’t just clearly understood, but attractive and motivating. Each IT professional should have the ability to share their forward-thinking ideas with little risk of being made to feel inferior or wrong.” Most important of all is removing the fear of failure, Hagstroem says.

IT 140

IT Reporting Risk Enterprise 140

Octopai

JUNE 26, 2020

Steve needed a robust and automated metadata management solution as part of his organization’s data governance strategy. Enterprise data governance. Enterprises, such as Steve’s company, understand that they need a proper data governance strategy in place to successfully manage all the data they process.

Metadata 84

Metadata Data Governance Enterprise Reporting 84

erwin

OCTOBER 8, 2020

No less daunting, your next step is to re-point or even re-platform your data movement processes. And you can’t risk false starts or delayed ROI that reduces the confidence of the business and taint this transformational initiative. The metadata-driven suite automatically finds, models, ingests, catalogs and governs cloud data assets.

Data Governance 145

Data Governance Metadata Testing Data Lake 145