Smart Data Collective

JUNE 23, 2022

Data analytics technology has become a pillar in modern business. A growing number of companies are utilizing data analytics to improve their operating strategies. One of the most important functions that data analytics is helping with is finance. The right data analytics tools can be very valuable.

Analytics 104

Analytics Data mining Finance Insurance 104

Smart Data Collective

SEPTEMBER 16, 2020

Predictive analytics, sometimes referred to as big data analytics, relies on aspects of data mining as well as algorithms to develop predictive models. These predictive models can be used by enterprise marketers to more effectively develop predictions of future user behaviors based on the sourced historical data.

Predictive Analytics 121

Predictive Analytics Analytics Predictive Modeling Data mining 121

Smart Data Collective

JANUARY 12, 2022

Data analytics has arguably become the biggest gamechanger in the field of finance. Many large financial institutions are starting to appreciate the many advantages that big data technology has brought. Markets and Markets estimates that the financial analytics market will be worth $11.4 billion in the next two years.

Data Analytics 116

Data Analytics Analytics Finance Data mining 116

Smart Data Collective

JANUARY 10, 2023

Data analytics technology has led to a number of impressive changes in the financial industry. A growing number of financial professionals are investing in data analytics technology to provide better service to their customers. The market for financial data in the United States alone is projected to be worth over $20.8

Finance 98

Finance Data Analytics Analytics Big Data 98

Smart Data Collective

AUGUST 11, 2022

Data analytics technology has become very important for helping companies manage their financial strategies. Companies are projected to spend nearly $12 billion on financial analytics services by 2028. There are many great benefits of using data analytics to improve financial management strategies.

Data Analytics 116

Data Analytics Optimization Analytics Cost-Benefit 116

FineReport

JULY 28, 2021

If you are curious about the difference and similarities between them, this article will unveil the mystery of business intelligence vs. data science vs. data analytics. Definition: BI vs Data Science vs Data Analytics. Typical tools for data science: SAS, Python, R. What is Data Analytics?

Business Intelligence 98

Business Intelligence Data Science Data Analytics Analytics 98

Smart Data Collective

MAY 3, 2021

You should understand the changes wrought by big data and the impact that it is having on the gig economy. Let us take a look at some of the pros and cons of the world of gigs: #1 Unbridled liberty of choice with data mining. Big data has made it easier to identify new opportunities in the gig economy.

Big Data 122

Big Data Data mining Cost-Benefit Insurance 122

Smart Data Collective

NOVEMBER 12, 2021

Big data technology has been instrumental in changing the direction of countless industries. Companies have found that data analytics and machine learning can help them in numerous ways. We talked about the benefits of outsourcing IoT and other data science obligations. However, the converse approach can also be useful.

Data-driven 103

Data-driven Cost-Benefit Data mining Big Data 103

Smart Data Collective

NOVEMBER 1, 2020

k-means Clustering – Document clustering, Data mining. In data mining, k-means clustering is used to classify observations into groups of related observations with no predefined relationships. Hidden Markov Model – Pattern Recognition, Bioinformatics, Data Analytics. Source ].

Machine Learning 134

Machine Learning Data mining Visualization Statistics 134

CIO Business Intelligence

APRIL 6, 2022

For example, on the front end, healthcare organizations can optimize secure access to clinical data to improve the level of care provided and reduce patient wait times. While on the back end, AIOps can facilitate insurance processes, protect patient information, and minimize fraud. Intel® Technologies Move Analytics Forward.

Data mining 70

Data mining Deep Learning Insurance Digital Transformation 70

CIO Business Intelligence

JANUARY 11, 2023

Aligning on business goals There must be open, transparent, and collaborative working sessions to create alignment on how technology capabilities can be deployed to meet enterprise goals, states Bill Cassidy, CIO at New York Life Insurance. level talent while embracing the latest data mining, data analysis, and analytical tools.

Digital Transformation 145

Digital Transformation Cost-Benefit Consulting Enterprise 145

FineReport

APRIL 9, 2024

The pivotal role of healthcare BI tools lies in advancing clinical business intelligence, enabling healthcare providers to harness the power of data for informed decision-making and enhanced patient care. By integrating advanced analytics solutions, healthcare organizations can elevate their capacity for data-driven decision-making.

Digital Transformation 52

Digital Transformation Business Intelligence Data-driven Visualization 52

CIO Business Intelligence

APRIL 19, 2022

This is known as data traction. Mining for gold. In any market segment you care to look at, you will find that the market front-runners will be those that have an exceptionally good data mining capability. Instead of opting for risking a ‘possible’ gain by investing in change and the value of data.

Digital Transformation 57

Digital Transformation Data mining Strategy Insurance 57

Peter James Thomas

AUGUST 18, 2018

From 2000 to 2015, I had some success [5] with designing and implementing Data Warehouse architectures much like the following: As a lot of my work then was in Insurance or related fields, the Analytical Repositories tended to be Actuarial Databases and / or Exposure Management Databases, developed in collaboration with such teams.

Data Lake 63

Data Lake Data Warehouse Data mining Statistics 63

Sisense

AUGUST 19, 2020

Disrupting Markets is your window into how companies have digitally transformed their businesses, shaken up their industries, and even changed the world through the use of data and analytics. The use of big data analytics and cloud computing has spiked phenomenally during the last decade.

Big Data 52

Big Data Machine Learning Digital Transformation Marketing 52

bridgei2i

JULY 28, 2020

In my company StatWeather we use this kind of data and data mining to forecast weather and climate patterns, which has been very successful. Listen to Dhritiman Chakrabarti, Advisor – People Analytics, BRIDGEi2i talk about the role of HR teams in mitigating the COVID-19 crisis and the redefinition of work in the new era.

Enterprise 98

Enterprise Digital Transformation Insurance B2B 98

Alation

AUGUST 26, 2021

Why keep data at all? Answering these questions can improve operational efficiencies and inform a number of data intelligence use cases, which include data governance, self-service analytics, and more. Data Intelligence: Origin, Evolution, Use Cases. Examples of Data Intelligence use cases include: Data governance.

Metadata 64

Metadata Data Governance Dashboards Software 64