Smart Data Collective

AUGUST 7, 2019

Big data has the power to transform any small business. One study found that 77% of small businesses don’t even have a big data strategy. If your company lacks a big data strategy, then you need to start developing one today. The best thing that you can do is find some data analytics tools to solve your most pressing challenges.

Data Analytics 100

Data Analytics Analytics Big Data Data Lake 100

Smarten

APRIL 10, 2023

Investment in predictive analytics benefits everyone in the organization, including business users and team members, data scientists and the organization in general. Team members can bridge the gap of data science skills so they don’t have to wait for IT or data scientists to help them produce a report or perform analytics.

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Predictive Analytics Predictive Modeling Analytics Prescriptive Analytics 52

CIO Business Intelligence

FEBRUARY 10, 2023

Predictive analytics definition Predictive analytics is a category of data analytics aimed at making predictions about future outcomes based on historical data and analytics techniques such as statistical modeling and machine learning. from 2022 to 2028.

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Predictive Analytics Analytics Predictive Modeling Forecasting 136

Smarten

MARCH 7, 2024

While none of these is considered ‘new’ in the market today, the combination of essential components and the leveraging of new technologies and features is key to keeping augmented analytics fresh and usable for the average business user. Instead, the user will simply select the dataset to be analyzed.

Analytics 67

Analytics Predictive Modeling Machine Learning Visualization 67

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. The applications of predictive analytics are extensive and often require four key components to maintain effectiveness. Data Sourcing.

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Predictive Analytics Analytics Predictive Modeling Data mining 122

CIO Business Intelligence

JULY 5, 2022

Business analytics is the practical application of statistical analysis and technologies on business data to identify and anticipate trends and predict business outcomes. What are the benefits of business analytics? What is the difference between business analytics and data analytics?

Business Analytics 122

Business Analytics Prescriptive Analytics Data mining Diagnostic Analytics 122

Smart Data Collective

MARCH 3, 2021

The legal sector is still in its infancy when it comes to big data and analytics. Lawyers and law experts are trying to figure it out, and consternation continues to shadow some corners because not everyone can quite understand what analytics is and how it can improve the personal injury law industry.

Analytics 127

Analytics Big Data Predictive Modeling Insurance 127

FineReport

JUNE 7, 2024

By presenting data in visually appealing formats, decisions can be made promptly, leading to more efficient operations and strategic moves. Improving Business Insights Data visualization goes beyond just displaying numbers; it provides a deeper understanding of trends and patterns that might otherwise go unnoticed.

Visualization 52

Visualization Predictive Analytics Dashboards Predictive Modeling 52

CIO Business Intelligence

DECEMBER 11, 2023

It will strengthen and improve the veracity of financial data, and, most importantly, it will help CFOs take a more active role in value creation. Going even further, some of the most progressive finance teams are incorporating sensor-based IoT data from plants, factories, and even trucking fleets to prioritize capital expenditures.

Finance 89

Finance Forecasting IoT Predictive Modeling 89

CIO Business Intelligence

MAY 9, 2024

They should lead the efforts to tie AI capabilities to data analytics and business process strategies and champion an AI-first mindset throughout the organization. And they should have a proficiency in data science and analytics to effectively leverage data-driven insights and develop AI models.

Risk Management 131

Risk Management Risk Cost-Benefit Technology 131

Smarten

MAY 29, 2023

World-renowned technology analysis firm Gartner defines the role this way, ‘A citizen data scientist is a person who creates or generates models that leverage predictive or prescriptive analytics, but whose primary job function is outside of the field of statistics and analytics. ‘If Advanced data preparation.

Prescriptive Analytics 52

Prescriptive Analytics Predictive Modeling Digital Transformation Business Objectives 52

DataRobot Blog

JULY 5, 2022

Location data is a key dimension whose volume and availability has grown exponentially in the last decade. Utah Spatial Modeling Process. A Light Gradient Boosted Trees Regressor with Early Stopping model was trained without any geospatial data on 5,657 residential home listings to provide a baseline for comparison.

Recreation/Entertainment 103

Recreation/Entertainment Machine Learning Predictive Modeling Sales 103

IBM Big Data Hub

APRIL 1, 2024

With IBM watsonx™ Assistant, companies can build large language models and train them using proprietary information, all while helping to ensure the security of their data. Through IBM® watsonx.ai™, various industry-leading models are available for different types of summarization.

Predictive Analytics 77

Predictive Analytics Sales Enterprise Predictive Modeling 77

CIO Business Intelligence

APRIL 22, 2022

For most organizations, it is employed to transform data into value in the form of improved revenue, reduced costs, business agility, improved customer experience, the development of new products, and the like. Data science gives the data collected by an organization a purpose. Data science vs. data analytics.

Data Science 136

Data Science Statistics Machine Learning Visualization 136

CIO Business Intelligence

OCTOBER 13, 2023

In the next six to 12 months, some of the most popular anticipated uses for gen AI include content creation (42%), data analytics (53%), software development (41%), business insight (51%), internal customer support (45%), product development (40%), security (42%), and process automation (51%).

Deep Learning 142

Deep Learning Machine Learning Modeling Software 142

Smarten

APRIL 12, 2023

Smarten announces the launch of SnapShot Anomaly Monitoring Alerts for Smarten Augmented Analytics. SnapShot Monitoring provides powerful data analytical features that reveal trends and anomalies and allow the enterprise to map targets and adapt to changing markets with clear, prescribed actions for continuous improvement.

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Snapshot Key Performance Indicator KPI Business Intelligence 52

Smarten

OCTOBER 25, 2023

Among the top considerations: Self-Service BI Collaborative Features Mobile BI Data Visualization Citizen Data Scientist Support Augmented Analytics If you are looking for the right BI tools or augmented analytics and data discovery solution, be sure to consider the mobility of the solution, and its ease-of-use and ease-of-access.

Visualization 67

Visualization Predictive Modeling Machine Learning Business Intelligence 67

Smart Data Collective

SEPTEMBER 17, 2020

Nowadays, terms like ‘Data Analytics,’ ‘Data Visualization,’ and ‘Big Data’ have become quite popular. In this modern age, each business entity is driven by data. Data analytics are now very crucial whenever there is a decision-making process involved. Perks Associated with Big Data.

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CIO Business Intelligence

DECEMBER 13, 2022

Our digital transformation strategy is centered around establishing a consumer-oriented model that helps us customize chronic care management based on the ever-changing conditions of each patient.” Tim Scannell: How much of a role do technologies like data analytics and AI play in DaVita’s overall technology and business strategy?

Strategy 92

Strategy Technology Digital Transformation Data Lake 92

Smarten

NOVEMBER 14, 2017

Predictive Analytics for the Faint of Heart! Assisted Predictive Modeling , Predictive Analytics. They don’t want to have to try to unravel the complicated world of data analytics and be forced to choose forecasting techniques or predictive models. Leave it to the Software!

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Predictive Analytics Analytics Predictive Modeling Forecasting 64

Smarten

MAY 17, 2019

These are just some of the examples of use cases that effectively illustrate how your business can benefit from predictive analytics in real-world scenarios. The benefits of advanced analytics and assisted predictive modeling are too numerous to provide a complete list here. Online Target Marketing.

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Predictive Analytics Forecasting Analytics Predictive Modeling 65

Cloudera

AUGUST 4, 2021

While both are far superior to traditional Corrective maintenance (action only after a piece of equipment fails), Predictive is by far the most effective. In fact, McKinsey points to a 50% reduction in downtime and a 40% reduction in maintenance costs when using IoT and data analytics to predict and prevent breakdowns.

IoT 98

IoT Unstructured Data Machine Learning Predictive Modeling 98

IBM Big Data Hub

MAY 17, 2024

Poorly run implementations of traditional or generative AI in commerce—such as models trained on inadequate or inappropriate data—lead to bad experiences that alienate consumers and businesses. This includes trust in the data, the security, the brand and the people behind the AI.

B2B 64

B2B Interactive Optimization Forecasting 64

Domino Data Lab

JULY 28, 2021

Data science is a field that uses math and statistics as part of a scientific process to develop an algorithm that can extract insights from data. All models are not made equal. Universally, models have a basis in statistics and probability, from linear regression to decision trees to support vector machines.

Data Science 110

Data Science Statistics Recreation/Entertainment Predictive Analytics 110

BizAcuity

JULY 13, 2021

Fraud Detection: AI records the data of users and their gambling activities and collectively determines cheating methods by flagging its suspicious occurrence and therefore, suspending accounts for further investigation. Data Enrichment/Data Warehouse Layer. Data Analytics Layer. Data Visualization Layer.

Optimization 52

Optimization Marketing Analytics Data Warehouse 52

Domino Data Lab

OCTOBER 7, 2020

In our next blog we discuss how we try to avoid these problems in applied data analysis of high dimensional data. Data Has Properties. Statistics developed in the last century are based on probability models (distributions). The accuracy of any predictive model approaches 100%. P >> N) ).

Statistics 145

Statistics Testing Predictive Modeling Modeling 145

IBM Big Data Hub

JULY 6, 2023

Data science is a broad, multidisciplinary field that extracts value from today’s massive data sets. It uses advanced tools to look at raw data, gather a data set, process it, and develop insights to create meaning. It requires data science tools to first clean, prepare and analyze unstructured big data.

Machine Learning 54

Machine Learning Data Science Statistics Deep Learning 54

IBM Big Data Hub

FEBRUARY 14, 2024

Other uses include Netflix offering viewing recommendations powered by models that process data sets collected from viewing history; LinkedIn uses ML to filter items in a newsfeed, making employment recommendations and suggestions on who to connect with; and Spotify uses ML models to generate its song recommendations.

Cost-Benefit 82

Cost-Benefit Insurance Unstructured Data Machine Learning 82

CIO Business Intelligence

APRIL 25, 2022

WeCloudData is a data science and AI academy that offers a number of bootcamps as well as a diploma program and learning paths composed of sequential courses. Offerings include: a part-time and a full-time data science bootcamp, an AI engineering bootcamp, a part-time BI and data analytics bootcamp, and a data engineering bootcamp.

Data Science 145

Data Science Machine Learning Deep Learning Statistics 145

Smarten

FEBRUARY 14, 2019

Can Citizen Data Scientists Support Advanced Analytical Needs? With the right augmented data discovery tools that are suitable for business users but sophisticated enough to produce professional-level results, the organization can get what it needs without hiring teams of analysts, data scientists and IT professionals.

Analytics 40

Analytics Predictive Modeling Business Intelligence Visualization 40

Smarten

NOVEMBER 22, 2019

In addition to these cultural changes, the enterprise must also look at technology with an eye toward integration of data and the implementation of tools that will make it easy for business users to join in the initiative.

Predictive Modeling 67

Predictive Modeling Data-driven Forecasting Visualization 67

Juice Analytics

MARCH 11, 2021

A successful data product lies at the intersection of the three circles in the following Venn diagram: Your customer’s pain point, an urgent problem they want to solve; The characteristics of your data which can be brought together to solve that problem; The capabilities you have to enhance the value of the data to make it as useful as possible.

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Predictive Modeling Visualization Reporting Interactive 128

Smarten

NOVEMBER 8, 2022

Smarten is pleased to announce the launch of its FREE online Citizen Data Scientist course. This self-paced, online Citizen Data Scientist course can help businesses make the most of the Citizen Data Scientist experience by providing foundational training for business users who are Citizen Data Scientist candidate.

Business Intelligence 52

Business Intelligence Predictive Modeling Statistics Data-driven 52

IBM Big Data Hub

OCTOBER 16, 2023

Marketers use ML for lead generation, data analytics, online searches and search engine optimization (SEO). ML algorithms and data science are how recommendation engines at sites like Amazon, Netflix and StitchFix make recommendations based on a user’s taste, browsing and shopping cart history.

Machine Learning 48

Machine Learning Marketing Forecasting Modeling 48

Sisense

AUGUST 11, 2019

The sheer quantity and scope of data produced and stored by your company can make it incredibly hard to peer through the number-fog to pick out the details you need. This is where Business Analytics (BA) and Business Intelligence (BI) come in: both provide methods and tools for handling and making sense of the data at your disposal.

Business Intelligence 75

Business Intelligence Business Analytics Analytics OLAP 75

Cloudera

MAY 12, 2021

2020 saw us hosting our first ever fully digital Data Impact Awards ceremony, and it certainly was one of the highlights of our year. We saw a record number of entries and incredible examples of how customers were using Cloudera’s platform and services to unlock the power of data. HYBRID & MULTI-CLOUD INNOVATION. PEOPLE FIRST.

Digital Transformation 70

Digital Transformation Machine Learning Optimization Data Lake 70

Cloudera

DECEMBER 9, 2020

It’s been a few weeks since we celebrated the 2020 Data Impact Awards, and everyone at Cloudera is still on a high. The Connect the Data Lifecycle award was our fifth award at this year’s ceremony. Entrants in this award category are so important to recognize because of how they tie every piece of their data strategy together.

Predictive Modeling 72

Predictive Modeling Data Warehouse Enterprise Data Strategy 72