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? Why do we need data maturity models?

Measurement 52

Measurement Modeling Data Quality Data Governance 52

Smart Data Collective

SEPTEMBER 21, 2021

Retailers around the world are discovering that big data can be incredibly valuable to their bottom lines. A growing number of businesses are starting to look for new data-driven approaches to streamline their business models. Targeting the Right Variables for Your Data-Driven Retail Business Model.

Data-driven 108

Data-driven Metrics Sales Big Data 108

IBM Big Data Hub

APRIL 15, 2024

Challenges of traditional security awareness programs Most security awareness programs today provide employees with information they need about handling data, GDPR rules and common threats, such as phishing. Traditional security awareness programs primarily target System 2, as the information needs to be rationally processed.

Metrics 98

Metrics Measurement Risk Data Processing 98

Alation

NOVEMBER 17, 2022

But what does it mean for an organisation to be truly data-driven? What foundation needs to be in place at the start, and what journey does an organisation need to embrace to benefit from the forensic insights their data can reveal? This requires: Data is embedded into the processes of the organisation.

Data-driven 52

Data-driven Cost-Benefit Business Objectives Technology 52

Smart Data Collective

SEPTEMBER 4, 2020

Big data is becoming increasingly important in business decision-making. The market for data analytics applications and solutions is expected to reach $105 billion by 2027. However, big data technology is only a viable tool for business decision-making if it is utilized appropriately. Guide to Creating a Big Data Strategy.

Data-driven 87

Data-driven Big Data Metrics Strategy 87

DataKitchen

MARCH 5, 2024

Why Not Hearing About Data Errors Should Worry Your Data Team In the chaotic lives of data & analytics teams, a day without hearing of any data-related errors is a blessing. This creates an imbalance in workload and resource allocation and prevents a holistic view of data system health and efficiency.

Data Quality 150

Data Quality Measurement Testing Data-driven 150

CIO Business Intelligence

MARCH 25, 2024

Cybersecurity in UAE’s companies is one of the top priorities; new work models and growing cyber threats have caused companies to dedicate more staff and capital to mitigating these types of risks. Dr. Mohamed Al Kuwaiti, Head of Cyber Security for the UAE Government.

IT 111

IT Reporting Risk Data-driven 111

CIO Business Intelligence

FEBRUARY 27, 2024

You can still use your older phone for calls but suddenly, you can’t load new apps and it becomes easier for data to leak. Your risk of data breach increases as soon as your assets are no longer protected from cyberthreats. This creates risk for the company, shareholders, customers and their brand.

Technology 105

Technology Management Manufacturing Cost-Benefit 105

Smart Data Collective

MAY 15, 2019

Big data has created both positive and negative impacts on digital technology. On the one hand, big data technology has made it easier for companies to serve their customers. On the other hand, big data has created a number of security risks that they need to be aware of, especially with brands leveraging Hadoop technology.

Big Data 93

Big Data Risk Measurement Data mining 93

CIO Business Intelligence

APRIL 8, 2024

Nearly 10 years ago, Bill James, a pioneer in sports analytics methodology, said if there’s one thing he wished more people understood about sabermetrics, pertaining to baseball, it’s that the data is not the point. The point is to use the data like a razor to cut through false convictions to find the truth.

Analytics 118

Analytics Broadcasting Predictive Analytics Metrics 118

Laminar Security

DECEMBER 13, 2023

In the ever-evolving digital landscape, the importance of data discovery and classification can’t be overstated. As we generate and interact with unprecedented volumes of data, the task of accurately identifying, categorizing, and utilizing this information becomes increasingly difficult.

Data-driven 119

Data-driven Machine Learning Risk Deep Learning 119

Smart Data Collective

OCTOBER 26, 2023

AI poses a number of benefits and risks for modern businesses. Cybersecurity, often known as information security or IT security, keeps information on the internet and within computer systems and networks secure against unauthorized users. One of the most striking examples is in the field of cybersecurity.

Technology 93

Technology Risk Measurement IoT 93

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. 3) How do we get started, when, who will be involved, and what are the targeted benefits, results, outcomes, and consequences (including risks)? So what? (2)

Strategy 289

Strategy Experimentation Uncertainty Machine Learning 289

datapine

MAY 2, 2023

Table of Contents 1) Benefits Of Big Data In Logistics 2) 10 Big Data In Logistics Use Cases Big data is revolutionizing many fields of business, and logistics analytics is no exception. The complex and ever-evolving nature of logistics makes it an essential use case for big data applications. Did you know?

Big Data 275

Big Data Cost-Benefit Internet of Things Optimization 275

CIO Business Intelligence

DECEMBER 7, 2023

And the key to success is having data that can be analyzed for actionable insights. But until recently , gathering accurate and timely data from multiple sources had been challenging for the local island governments because of a lack of equipment, process and format standardization, technology, and human resources.

IoT 108

IoT Internet of Things Forecasting Digital Transformation 108

Smart Data Collective

MAY 4, 2023

UMass Global has a very insightful article on the growing relevance of big data in business. Big data has been discussed by business leaders since the 1990s. Professionals have found ways to use big data to transform businesses. One thing that they need to do is collect data their business needs.

Data mining 79

Data mining Big Data Data-driven Measurement 79

Domino Data Lab

AUGUST 6, 2021

Model Risk Management is about reducing bad consequences of decisions caused by trusting incorrect or misused model outputs. An enterprise starts by using a framework to formalize its processes and procedures, which gets increasingly difficult as data science programs grow. What Is Model Risk? Types of Model Risk.

Risk Management 64

Risk Management Risk Modeling Enterprise 64

DataKitchen

FEBRUARY 27, 2024

Your LLM Needs a Data Journey: A Comprehensive Guide for Data Engineers The rise of Large Language Models (LLMs) such as GPT-4 marks a transformative era in artificial intelligence, heralding new possibilities and challenges in equal measure. Embedding: The retrieved data is encoded into embeddings that the LLM can interpret.

Data Quality 120

Data Quality Unstructured Data Testing Modeling 120

Smart Data Collective

SEPTEMBER 30, 2022

Given the growing importance of big data and the rising reliance of businesses on big data analytics to carry out their day-to-day operations, it is safe to say that big data has irrevocably altered the online world for anyone running a digital enterprise or an e-business. Breaches That Result in Obstruction of Privacy.

Big Data 136

Big Data Data-driven Risk Measurement 136

DataKitchen

MARCH 16, 2023

How to measure your data analytics team? So it’s Monday, and you lead a data analytics team of perhaps 30 people. And she is numbers driven – great! Like most leaders of data analytic teams, you have been doing very little to quantify your team’s success. Introduction. You’ve got a new boss.

Metrics 130

Metrics Data Analytics Analytics Measurement 130

Jet Global

SEPTEMBER 29, 2021

The Importance of Data-Driven Finance Leaders. More than ever before, businesspeople rely on their Finance leaders to drive strategic initiatives and business growth, not just report the numbers, to help manage global risk and operations and better serve customers. How Finance Leaders Use Data to Support Decision-Making.

Data-driven 52

Data-driven Finance Data Collection Metrics 52

Smart Data Collective

MAY 25, 2023

We live in a digital age, where data is the new currency. Every day, a massive amount of information is generated, processed, and stored, and it is critical for everyone who offers their services online to prioritize privacy and ensure responsible data practices. Then adhere to data ethics. Don’t want to mess things up?

Data Collection 85

Data Collection Measurement Data-driven Risk 85

FineReport

APRIL 9, 2024

Understanding Healthcare BI Tools The Role of Healthcare BI Tools Healthcare BI tools are instrumental in revolutionizing decision-making processes and patient care through the utilization of advanced data analysis and technology.

Digital Transformation 52

Digital Transformation Business Intelligence Data-driven Visualization 52

Smart Data Collective

JULY 16, 2023

Big data is the most important business trend of the 21st century. The usage, volume, and types of data have increased significantly. In fact, big data keeps gaining momentum. We mentioned that data analytics is vital to marketing , but it is affecting many other industries as well.

ROI 71

ROI Data Analytics Analytics Risk Management 71

Smart Data Collective

NOVEMBER 1, 2023

Data analytics offers a number of benefits for growing organizations. While there are multiple ways to better your team’s performance, utilizing employee productivity data is among the most effective. Discussed below are six ways to use data to improve employee performance.

Metrics 88

Metrics Measurement Data-driven Optimization 88

IBM Big Data Hub

FEBRUARY 7, 2024

These efforts are often driven by stakeholder expectations, regulatory requirements and the recognition that sustainable business practices can improve the bottom line. With regulated documentation, consumers, governments and other stakeholders can make better decisions based on trustworthy information.

Reporting 101

Reporting Cost-Benefit Internet of Things Data-driven 101

CIO Business Intelligence

JUNE 21, 2022

Governance should be designed with adaptability in mind to ensure IT remains in alignment with business objectives, continually providing value while effectively safeguarding the organization against potential risks, Bales says. Poor risk planning. Insufficient operational visibility.

IT 116

IT Risk Measurement Risk Management 116

FineReport

APRIL 9, 2024

Evolving BI Tools in 2024 Significance of Business Intelligence In 2024, the role of business intelligence software tools is more crucial than ever, with businesses increasingly relying on data analysis for informed decision-making.

Business Intelligence 52

Business Intelligence Software Data-driven Predictive Modeling 52

Cloudera

APRIL 19, 2023

Data has become an essential driver for new monetization initiatives in the financial services industry. With the emergence of new technologies, including privacy enhancing techniques (PETs) that further protect the customer, monetizing data has become more accessible than ever before.

Data-driven 70

Data-driven Data Architecture Measurement Risk 70

Smart Data Collective

AUGUST 31, 2023

Simply keeping data on the cloud does not ensure your company’s safety in the event of a crisis. Cybersecurity professionals need to embrace a number of new measures as cybercriminals use AI to commit more horrific offenses. This includes using cybersecurity simulations to prepare for AI-driven cyberattacks.

Risk 109

Risk Measurement Strategy Data-driven 109

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. Your Chance: Want to perform advanced data analysis with a few clicks? Data Is Only As Good As The Questions You Ask.

IT 317

IT Statistics KPI Data-driven 317

DataKitchen

DECEMBER 9, 2022

ChatGPT> DataOps, or data operations, is a set of practices and technologies that organizations use to improve the speed, quality, and reliability of their data analytics processes. The goal of DataOps is to help organizations make better use of their data to drive business decisions and improve outcomes.

Machine Learning 130

Machine Learning Data-driven Optimization Modeling 130

Alation

SEPTEMBER 7, 2021

In the previous blog , we discussed how Alation provides a platform for data scientists and analysts to complete projects and analysis at speed. In this blog we will discuss how Alation helps minimize risk with active data governance. But governance is a time-consuming process (for users and data stewards alike).

Data Governance 59

Data Governance Risk Data Quality Dashboards 59

datapine

MARCH 8, 2021

Rapid technological evolution means it’s now possible to use accessible and intuitive data-driven tools to our advantage. We’ve delved into the impact of big data in healthcare. This perfect storm of visual information ultimately makes healthcare institutions safer, more productive, and more intelligent.

Reporting 198

Reporting KPI Management Cost-Benefit 198

CIO Business Intelligence

DECEMBER 13, 2022

Recently, chief information officers, chief data officers, and other leaders got together to discuss how data analytics programs can help organizations achieve transformation, as well as how to measure that value contribution. business, IT, data management, security, risk and compliance etc.)

Data Analytics 105

Data Analytics Strategy Analytics Metrics 105

CIO Business Intelligence

MAY 2, 2024

Yet, these fundamental work activities expose organizations to a wide range of security risks, like data leaks, identity and password theft, malicious browser extensions, phishing sites and more. Today’s modern enterprise employees rely heavily on browser-based services and SaaS applications.

IT 59

IT Risk Enterprise Data-driven 59

Smart Data Collective

APRIL 10, 2023

Data breaches in the financial sector have become a major concern for businesses and consumers alike. With the increasing reliance on digital transactions and data storage, it has become more important than ever for financial institutions to ensure that their data is secure.

Risk 79

Risk Measurement Data-driven Software 79