Analytics Vidhya

NOVEMBER 2, 2020

This article is the third in a series of four, where we mention some of the most discussed points to keep in mind before. The post Getting started with Analytics: Data Challenges appeared first on Analytics Vidhya.

Analytics 334

Analytics Data Processing Data Governance Business Analytics 334

Smart Data Collective

NOVEMBER 24, 2020

In this article, you’ll discover: upcoming trends in business intelligence what benefits will BI provide for businesses in 2020 and on? Business intelligence software will be more geared towards working with Big Data. Data Governance. One issue that many people don’t understand is data governance.

Business Intelligence 130

Business Intelligence Visualization Dashboards Prescriptive Analytics 130

O'Reilly on Data

JULY 28, 2020

In this article, we turn our attention to the process itself: how do you bring a product to market? The development phases for an AI project map nearly 1:1 to the AI Product Pipeline we described in the second article of this series. The final article in this series will be devoted to debugging.). Identifying the problem.

Marketing 362

Marketing Experimentation Metrics Testing 362

Cloudera

AUGUST 12, 2021

The report classified employees’ reasons for leaving into six broad categories such as growth opportunity and job security, demonstrating the importance of using performance data, data collected from voluntary departures and historical data to reduce attrition for strong performers and enhance employees’ well-being.

Data-driven 111

Data-driven Manufacturing Insurance Risk Management 111

Cloudera

FEBRUARY 16, 2022

Model interpretability is one of five main components of model governance. In this article, we explore model governance, a function of ML Operations (MLOps). We can think of model lineage as the specific combination of data and transformations on that data that create a model. Model Visibility.

Machine Learning 87

Machine Learning Modeling Metadata Recreation/Entertainment 87

TDAN

APRIL 30, 2019

Data collection is getting more dispersed and voluminous every day. Enterprises create and collect information from a variety of data sources which may include websites, mobile devices, customers, vendors, and other numerous sources.

Management 69

Management Data Collection Enterprise Data Governance 69

Jet Global

SEPTEMBER 29, 2021

Provide Access to Quality Data. Q uality data is accurate, relevant, and complete. Although ensuring data collection is accurate and reliable is important, leveraging data for strategic decision-making is essential. Make data accessible to all employees who need it to make decisions. Avoid “Vanity Metrics’.

Data-driven 52

Data-driven Finance Data Collection Metrics 52

FineReport

MAY 31, 2023

In today’s dynamic business environment, gaining comprehensive visibility into financial data is crucial for making informed decisions. In this article, we will explore the concept of a financial dashboard, highlight its numerous benefits, and provide various kinds of financial dashboard examples for you to employ and explore.

Dashboards 52

Dashboards Key Performance Indicator Metrics Visualization 52

Domino Data Lab

JULY 22, 2019

data science’s emergence as an interdisciplinary field – from industry, not academia. why data governance, in the context of machine learning is no longer a “dry topic” and how the WSJ’s “global reckoning on data governance” is potentially connected to “premiums on leveraging data science teams for novel business cases”.

Data Science 109

Data Science Machine Learning Data Governance Modeling 109

TDAN

MARCH 3, 2020

In 2018, it was discovered that Cambridge Analytica had harvested the data of at least 87 million Facebook users without their knowledge after obtaining it via a few thousand accounts that had used a quiz app. There is no getting away from how incredibly valuable our data is. In 2018, the Global Data Mining Tools […].

Data mining 52

Data mining IT Data Strategy Data Governance 52

Alation

FEBRUARY 8, 2022

Middlemen — data engineering or IT teams — can’t possibly possess all the expertise needed to serve up quality data to the growing range of data consumers who need it. As data collection has surged, and demands for data have grown in the enterprise, one single team can no longer meet the data demands of every department.

Data Governance 52

Data Governance Data-driven Metadata Enterprise 52

Alation

JANUARY 17, 2023

In this article, I will explain the modern data stack in detail, list some benefits, and discuss what the future holds. What Is the Modern Data Stack? The modern data stack is a combination of various software tools used to collect, process, and store data on a well-integrated cloud-based data platform.

Data Warehouse 52

Data Warehouse Cost-Benefit Data Transformation Data Science 52

Alation

FEBRUARY 20, 2020

With an on-premise deployment, enterprises have full control over data security, data access, and data governance. earthquake, flood, or fire), where the data collected does not need to be as tightly controlled. Users can also collaborate through social curation.

Data Lake 52

Data Lake ROI Metadata Cost-Benefit 52

Alation

MARCH 5, 2021

Data governance defines how data should be gathered and used within an organization. It address core questions, such as: How does the business define data? How accurate must the data be for use? Organizations have much to gain from learning about and implementing a data governance framework.

Data Governance 59

Data Governance Data Quality Dashboards Risk 59

Alation

JULY 6, 2021

Common Data Governance Challenges. Every enterprise runs into data governance challenges eventually. Issues like data visibility, quality, and security are common and complex. Data governance is often introduced as a potential solution. And one enterprise alone can generate a world of data.

Data Governance 52

Data Governance Metadata Data Quality Risk 52

datapine

FEBRUARY 22, 2022

Employ a Chief Data Officer (CDO). Big data guru Bernard Marr wrote about The Rise of Chief Data Officers. Before going all-in with data collection, cleaning, and analysis, it is important to consider the topics of security, privacy, and most importantly, compliance. Think of security, privacy, and compliance.

Business Intelligence 218

Business Intelligence Strategy Cost-Benefit Key Performance Indicator 218

Rocket-Powered Data Science

MARCH 20, 2023

We live in a data-rich, insights-rich, and content-rich world. Data collections are the ones and zeroes that encode the actionable insights (patterns, trends, relationships) that we seek to extract from our data through machine learning and data science. Source: [link] I will finish with three quotes.

Data Warehouse 325

Data Warehouse Metadata Digital Transformation Unstructured Data 325

IBM Big Data Hub

AUGUST 4, 2023

When workers get their hands on the right data, it not only gives them what they need to solve problems, but also prompts them to ask, “What else can I do with data?” ” through a truly data literate organization. What is data democratization?

Data Architecture 59

Data Architecture Data Lake Machine Learning Data Governance 59

Alation

SEPTEMBER 1, 2022

Activating metadata within a data intelligence platform surfaces key insights and unburden experts from tedious manual work. Data intelligence goes beyond systematic data collection in organizations and [uses] metadata to link and interconnect additional information,” the report states. The solution?

Reporting 52

Reporting Metadata Data Governance Interactive 52

Alation

AUGUST 2, 2022

Legacy technologies, siloed data, and manual processes make securing data and protecting privacy much more expensive and risky. After investing to develop these critical customer insights, a security breach can quickly damage trust and compromise the value of that data.

Strategy 52

Strategy Cost-Benefit Metrics Data Lake 52