Sisense

OCTOBER 6, 2020

Let’s consider the differences between the two, and why they’re both important to the success of data-driven organizations. Digging into quantitative data. This is quantitative data. It’s “hard,” structured data that answers questions such as “how many?” First, data isn’t created in a uniform, consistent format.

Statistics 98

Statistics Unstructured Data Data-driven Visualization 98

Ontotext

NOVEMBER 2, 2023

Organizations that quickly adapt to changing market conditions have a competitive advantage over their peers. Achieving this advantage is dependent on their ability to capture, connect, integrate, and convert data into insight for business decisions and processes. This is the goal of a “data-driven” organization.

IT 69

IT Cost-Benefit Data-driven Technology 69

IBM Big Data Hub

JULY 6, 2023

Data science use cases Data science is widely used in industry and government, where it helps drive profits, innovate products and services, improve infrastructure and public systems and more. Healthcare companies are using data science for breast cancer prediction and other uses.

Machine Learning 54

Machine Learning Data Science Statistics Deep Learning 54

FineReport

APRIL 26, 2023

Cost Savings : Big data tools such as FineReport , Hadoop, Spark, and Apache can assist businesses in saving costs by storing and handling huge amounts of data more efficiently. Market Insight : Analyzing big data can help businesses understand market demand and customer behavior.

Big Data 52

Big Data Data Analytics Analytics Cost-Benefit 52

IBM Big Data Hub

SEPTEMBER 7, 2023

It has an end-to-end process for building and testing foundation models and generative AI — starting with data collection and ending in control points for tracking the responsible deployments of models and applications — focused on governance, risk assessment, bias mitigation and compliance.

Modeling 102

Modeling Risk Unstructured Data Enterprise 102

CIO Business Intelligence

SEPTEMBER 13, 2023

Recent research we conducted with IDC, more than 70% of businesses believe financial and environmental regulations will become more of a threat, while source suggests 88% of boards regard cybersecurity as a business risk. The volume of highly sensitive data now hosted in the cloud is on an upward trajectory.

IT 98

IT Unstructured Data Uncertainty Strategy 98

Cloudera

AUGUST 21, 2020

Perhaps one of the most significant contributions in data technology advancement has been the advent of “Big Data” platforms. Historically these highly specialized platforms were deployed on-prem in private data centers to ensure greater control , security, and compliance. How can we mitigate security and compliance risk? .

Cost-Benefit 77

Cost-Benefit Big Data ROI Risk 77

CIO Business Intelligence

AUGUST 1, 2023

As many CIOs prepare their 2024 budgets and digital transformation priorities, developing a strategy that seeks opportunities to evolve business models, targets near-term operational impacts, prioritizes where employees should experiment, and defines AI-related risk-mitigating plans is imperative.

Digital Transformation 98

Digital Transformation Unstructured Data Strategy Experimentation 98

datapine

FEBRUARY 22, 2022

Without real-time insight into their data, businesses remain reactive, miss strategic growth opportunities, lose their competitive edge, fail to take advantage of cost savings options, don’t ensure customer satisfaction… the list goes on. Improved risk management: Another great benefit from implementing a strategy for BI is risk management.

Business Intelligence 218

Business Intelligence Strategy Cost-Benefit Key Performance Indicator 218

Laminar Security

MAY 3, 2023

They define DSPM technologies this way: “DSPM technologies can discover unknown data and categorize structured and unstructured data across cloud service platforms. At Laminar, we refer to those “unknown data repositories” as shadow data. Data can be copied, modified, moved, and backed up with just a few clicks.

Management 52

Management Risk Risk Management Data Processing 52