Smarten

APRIL 10, 2025

Embedded BI Assures User Adoption of Analytics When a business sets out to initiate data democratization and improve data literacy, it must choose the right approach to business intelligence and select an augmented analytics product that is self-serve, intuitive, easy to implement and easy for business users to embrace.

Business Intelligence 64

Business Intelligence ROI Data-driven Software 64

Cloudera

AUGUST 21, 2021

The same study also stated that having stronger online data security, being able to conduct more banking transactions online and having more real-time problem resolution were the top priorities of consumers. . Financial institutions need a data management platform that can keep pace with their digital transformation efforts.

Data-driven 103

Data-driven Digital Transformation Risk Risk Management 103

CIO Business Intelligence

DECEMBER 9, 2024

Furthermore, cloud-native applications can be used to apply full-time AI-driven threat hunting, digital forensics and incident responses, as well as faster security orchestration and responses. Get a copy of Winning big with AI-powered cloud modernization , a white paper published by CIO, NTT DATA and Microsoft.

Cost-Benefit 59

Cost-Benefit Optimization Data-driven Marketing 59

erwin

DECEMBER 6, 2019

In the data-driven era, CIO’s need a solid understanding of data governance 2.0 … Data governance (DG) is no longer about just compliance or relegated to the confines of IT. Today, data governance needs to be a ubiquitous part of your organization’s culture. Creating a Culture of Data Governance.

Data Governance 145

Data Governance Metadata Enterprise Data-driven 145

Peter James Thomas

JANUARY 8, 2020

The recently launched Data Strategy Review Service is just one example. Another service we provide is writing White Papers for clients. Sometimes the labels of these are white [1] as well as the paper. White-label Product – Wikipedia. helps organisations in a number of other ways.

Consulting 61

Consulting Data-driven Publishing Data Strategy 61

CIO Business Intelligence

JANUARY 18, 2024

Teams have also started working to collect more data for measuring customer value, which is a vital foundation for tracking progress. Level 4: Data-Driven When teams reach this level, they’ve established a high degree of data maturity throughout all value streams. Teams can start using data to fuel ongoing improvements.

Digital Transformation 119

Digital Transformation Modeling Management Data-driven 119

CIO Business Intelligence

SEPTEMBER 23, 2024

Data-driven insights are only as good as your data Imagine that each source of data in your organization—from spreadsheets to internet of things (IoT) sensor feeds—is a delegate set to attend a conference that will decide the future of your organization.

Manufacturing 122

Manufacturing Internet of Things Metadata Risk 122

erwin

JULY 12, 2019

In light of recent, high-profile data breaches, it’s past-time we re-examined strategic data governance and its role in managing regulatory requirements. for alleged violations of the European Union’s General Data Protection Regulation (GDPR). Complexity. Five Steps to GDPR/CCPA Compliance. Govern PII “at rest”.

Data Governance 110

Data Governance Management Metadata Risk Management 110

CIO Business Intelligence

OCTOBER 30, 2023

CIOs are responsible for much more than IT infrastructure; they must drive the adoption of innovative technology and partner closely with their data scientists and engineers to make AI a reality–all while keeping costs down and being cyber-resilient. That’s because data is often siloed across on-premises, multiple clouds, and at the edge.

Unstructured Data 143

Unstructured Data Optimization Data-driven Strategy 143

CIO Business Intelligence

NOVEMBER 4, 2022

Rigid requirements to ensure the accuracy of data and veracity of scientific formulas as well as machine learning algorithms and data tools are common in modern laboratories. When Bob McCowan was promoted to CIO at Regeneron Pharmaceuticals in 2018, he had previously run the data center infrastructure for the $81.5

Data Lake 125

Data Lake IT Experimentation Data-driven 125

CIO Business Intelligence

JANUARY 20, 2023

Topping the list of executive priorities for 2023—a year heralded by escalating economic woes and climate risks—is the need for data driven insights to propel efficiency, resiliency, and other key initiatives. 2] Foundational considerations include compute power, memory architecture as well as data processing, storage, and security.

Analytics 137

Analytics Key Performance Indicator Unstructured Data Deep Learning 137

erwin

SEPTEMBER 10, 2020

Not Documenting End-to-End Data Lineage Is Risky Busines – Understanding your data’s origins is key to successful data governance. Not everyone understands what end-to-end data lineage is or why it is important. Data Lineage Tells an Important Origin Story. Who are the data owners?

Data Governance 131

Data Governance Key Performance Indicator Metadata Digital Transformation 131

erwin

JUNE 6, 2019

Data innovation is flourishing, driven by the confluence of exploding data production, a lowered barrier to entry for big data, as well as advanced analytics, artificial intelligence and machine learning. Consumers and businesses alike have started to view data as an asset they must take steps to secure.

Digital Transformation 101

Digital Transformation Data-driven Machine Learning Big Data 101

CIO Business Intelligence

JANUARY 22, 2024

AI-driven technology is not just a side project anymore. According to a recent analysis by EXL, a leading data analytics and digital solutions company, healthcare organizations that embrace generative AI will dramatically lower administration costs, significantly reduce provider abrasion, and improve member satisfaction.

Cost-Benefit 106

Cost-Benefit Digital Transformation Data-driven Unstructured Data 106

DataRobot

OCTOBER 22, 2021

Procurement misuse, abuse, and inefficiency continues to be a challenge for state governments, driven by large transaction volumes, pressure to reduce costs, and staffing challenges. Here’s how AI can help: AI systems can ingest data to learn patterns of suspicious or anomalous activity. WHITE PAPER. Download Now.

Risk 98

Risk Risk Management Data-driven Management 98

CIO Business Intelligence

MARCH 22, 2022

Most organizations have come to understand the importance of being data-driven. To compete in a digital economy, it’s essential to base decisions and actions on accurate data, both real-time and historical. But the sheer volume of the world’s data is expected to nearly triple between 2020 and 2025 to a whopping 180 zettabytes.

Analytics 115

Analytics Key Performance Indicator Data Warehouse Data-driven 115

Smarten

MARCH 19, 2025

Generative AI utilizes neural networks to recognize and identify these patterns in training data, and use that data to generate content. It uses a large volume of data and parameters to train the model. By analyzing these datasets, the system can learn to spot repetitive results, trends and patterns.

Cost-Benefit 52

Cost-Benefit Digital Transformation Manufacturing Machine Learning 52

CIO Business Intelligence

JUNE 24, 2024

Data volumes continue to expand at an exponential rate, with no sign of slowing down. For instance, IDC predicts that the amount of commercial data in storage will grow to 12.8 Cybersecurity strategies need to evolve from data protection to a more holistic business continuity approach. … ZB by 2026. To watch 12.8

Strategy 112

Strategy Data-driven Technology Risk 112

CIO Business Intelligence

DECEMBER 10, 2024

To harness its full potential, it is essential to cultivate a data-driven culture that permeates every level of your company. Their role is crucial in assisting businesses in improving customer experiences and creating new revenue streams through AI-driven innovations. Our company is not alone in adopting an AI mindset.

Strategy 106

Strategy Data-driven Cost-Benefit Machine Learning 106

Decision Management Solutions

JUNE 18, 2020

Identifying in that model the pieces driven by regulation and policy so they can be automated with business rules. Finding the places where data-driven insight is key, so that predictive analytics and machine learning can be applied. It means working directly with those who know how to make a decision to model it.

Machine Learning 75

Machine Learning Predictive Analytics Data-driven Modeling 75

erwin

JUNE 27, 2019

The need for an effective data modeling tool is more significant than ever. For decades, data modeling has provided the optimal way to design and deploy new relational databases with high-quality data sources and support application development. Evaluating a Data Modeling Tool – Key Features.

Measurement 81

Measurement Modeling Unstructured Data Metadata 81

Smart Data Collective

MARCH 15, 2022

There is no doubt that big data has been a major gamechanger for the financial sector. Large financial institutions aren’t the only ones being impacted by big data. Small businesses are also using data analytics to improve their own finances. Hiring a Data-Savvy Accountant is More Important than Ever.

Big Data 115

Big Data Cost-Benefit Finance Data Analytics 115

CIO Business Intelligence

OCTOBER 23, 2023

In today’s uncertain economic landscape, it is no surprise that organizations are driven to optimize business costs. All of these present challenges for IT professionals within their day-to-day activities in data centers. With outdated and inefficient equipment, valuable resources and energy are being wasted in data centers.

Cost-Benefit 105

Cost-Benefit Uncertainty Digital Transformation Optimization 105

CIO Business Intelligence

DECEMBER 10, 2024

As a data-driven company, InnoGames GmbH has been exploring the opportunities (but also the legal and ethical issues) that the technology brings with it for some time. Both were created to address a fundamental problem in two respects: Data that remains unused: InnoGames collects more than 1.7 The games industry is no exception.

Data-driven 98

Data-driven Metadata Interactive KPI 98

CIO Business Intelligence

SEPTEMBER 2, 2022

Tim Scannell: Data is a major focus of most IT organizations today — collecting it from a variety of sources, transforming it into business intelligence, getting it into the hands of the right people within the organization. How extensive is your data-driven strategy today? Khare: We have a two-tiered decision-making process.

Uncertainty 98

Uncertainty Manufacturing Data-driven Business Intelligence 98

CIO Business Intelligence

SEPTEMBER 2, 2022

Tim Scannell: Data is a major focus of most IT organizations today — collecting it from a variety of sources, transforming it into business intelligence, getting it into the hands of the right people within the organization. How extensive is your data-driven strategy today? Khare: We have a two-tiered decision-making process.

Uncertainty 98

Uncertainty Manufacturing Data-driven Business Intelligence 98

erwin

NOVEMBER 21, 2019

In the era of data-driven business, such perspective is critical. White Paper – Data-Driven Business Transformation: Using data as a strategic asset and transformational tool to succeed in the digital age. IT has graduated from a support department to a proactive, value-driving function.

Enterprise 77

Enterprise Data-driven Data Governance Digital Transformation 77

IBM Big Data Hub

JUNE 13, 2022

The adoption of AI is driven by its utility and the improvements in efficiency it creates. ” Examples of RegTech include chatbots that can advise on regulatory questions, cloud-based platforms for regulatory and compliance data management, and computer code that enables more automated processing of data relating to regulations [9]. .”

Risk 98

Risk Risk Management Data-driven Metrics 98

Jet Global

JANUARY 17, 2019

In today’s data-driven world, business intelligence (BI) and analytics play a huge role in better understanding your customers, improving your operations, and making actionable business decisions. Take a look at the data you need to use in order to get any value from business intelligence and analytics.

Business Intelligence 75

Business Intelligence Management Data Warehouse Data Governance 75

Smart Data Collective

JULY 24, 2023

Nabil M Abbas of Towards Data Science talked about one of the most interesting ways that data analytics is changing the NBA. One of the biggest ways that data analytics is changing the sports industry is that it has revolutionized social media marketing strategies employed by sports teams and leagues. a year until 2030.

Analytics Technologies 98

Analytics Technologies Marketing Technology Analytics 98

Alation

MARCH 29, 2022

Today, the term describes that same activity, but on a much larger scale, as organizations race to collect, analyze, and act on data first. But there have always been limits on who can access valuable data, as well as how it can be used. In the 1970s, data was confined to mainframes and primitive databases.

Business Intelligence 96

Business Intelligence Reporting Data mining Data-driven 96

Jet Global

FEBRUARY 5, 2019

Are you making decisions based on bad data? It’s hard to answer that question because, truth be told, you don’t know you’re using bad data until it’s too late. . states that about 40 percent of enterprise data is either inaccurate, incomplete, or unavailable. Because bad data is the reason behind poor analytics. .

Data Warehouse 69

Data Warehouse Data Quality Business Intelligence Data Governance 69

Cloudera

JULY 9, 2019

Today, much of that speed and efficiency relies on insights driven by big data. Yet big data management often serves as a stumbling block, because many businesses continue to struggle with how to best capture and analyze their data. Unorganized data presents another roadblock.

Big Data 78

Big Data Management Snapshot Enterprise 78

Smarten

APRIL 23, 2024

In reviewing the Gartner evaluation of the value of Embedded BI, Solutions Review recently said, ‘Embedded BI can assist organizations in making data analytics available inside end-user tools, such as customer relationship management (CRM), enterprise resource planning (ERP), marketing, financial systems, and other software applications.

Software 64

Software Data-driven Marketing Enterprise 64

Jet Global

MAY 21, 2019

The purpose of a business dashboard is to help you make quick, calculated decisions based on raw data. Instead of combing through data from different applications and spreadsheets, a manager should be able to open up a dashboard and quickly get a visual status update on a specific project. Real-Time Updates. Collaboration.

Dashboards 75

Dashboards KPI Business Intelligence Visualization 75

Domino Data Lab

AUGUST 6, 2021

An enterprise starts by using a framework to formalize its processes and procedures, which gets increasingly difficult as data science programs grow. With a framework and Enterprise MLOps, organizations can manage data science at scale and realize the benefits of Model Risk Management that are received by a wide range of industry verticals.

Risk Management 64

Risk Management Risk Modeling Enterprise 64