Smart Data Collective

JANUARY 6, 2021

Big data is central to financial management. The market for financial data analytics is expected to reach $10 billion by 2025. One of the biggest uses of big data in finance relates to accounts receivable management. Fortunately, new advances in data technology have made accounts receivable management easier than ever.

Data-driven 95

Data-driven Management Big Data Predictive Analytics 95

datapine

MARCH 31, 2022

For example, if you enjoy computer science, programming, and data but are too extroverted to program all day long, you could work in a more human-oriented area of intelligence for business, perhaps involving more face-to-face interactions than most programmers would encounter on the job.

Business Intelligence 239

Business Intelligence Statistics Visualization Data-driven 239

CIO Business Intelligence

DECEMBER 1, 2022

Tapped to guide the company’s digital journey, as she had for firms such as P&G and Adidas, Kanioura has roughly 1,000 data engineers, software engineers, and data scientists working on a “human-centered model” to transform PepsiCo into a next-generation company.

Digital Transformation 126

Digital Transformation IoT Data-driven KPI 126

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

datapine

OCTOBER 21, 2020

Big data has changed the way we manage, analyze, and leverage data across industries. One of the most notable areas where data analytics is making big changes is healthcare. The application of big data analytics in healthcare has a lot of positive and also life-saving outcomes. 3) Real-Time Alerting.

Big Data 364

Big Data Data Analytics Analytics Cost-Benefit 364

datapine

MAY 2, 2023

Table of Contents 1) Benefits Of Big Data In Logistics 2) 10 Big Data In Logistics Use Cases Big data is revolutionizing many fields of business, and logistics analytics is no exception. The complex and ever-evolving nature of logistics makes it an essential use case for big data applications.

Big Data 275

Big Data Cost-Benefit Internet of Things Optimization 275

FineReport

APRIL 25, 2024

The Basics of Data Visualization To excel in data visualization jobs , proficiency with various tools and technologies is essential. Employers often seek candidates with expertise in Excel, as 54% of them consider it an indispensable skill for data analytics roles.

Visualization 52

Visualization Data-driven Dashboards Interactive 52

Cloudera

JANUARY 5, 2021

To enable these business capabilities requires an enterprise data platform to process streaming data at high volume and high scale, to manage and monitor diverse edge applications, and provide data scientists with tools to build, test, refine and deploy predictive machine learning models. .

Forecasting 91

Forecasting Cost-Benefit Sales Unstructured Data 91

Smart Data Collective

AUGUST 30, 2020

Over the past 10 years, big data has played an increasingly important role in the real estate industry. Let’s take a closer look at some of these interactions and what they mean for those inside the industry: 1. In fact, the use of real estate data has entirely replaced gut decisions with metric-driven practices.

Big Data 115

Big Data Risk Data-driven Marketing 115

Smarten

APRIL 12, 2023

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.

Snapshot 52

Snapshot Key Performance Indicator KPI Business Intelligence 52

FineReport

APRIL 9, 2024

By harnessing the power of healthcare data analysis , organizations can extract valuable insights from complex datasets, ultimately leading to improved healthcare outcomes and operational efficiency. The integration of clinical data analysis tools empowers healthcare providers to leverage predictive analytics for proactive decision-making.

Digital Transformation 52

Digital Transformation Business Intelligence Data-driven Visualization 52

CIO Business Intelligence

APRIL 21, 2022

Any evaluation of CDPs should begin with understanding how well the tools will interact with your current stack and how much custom code you will need to write. An online store already owns quite a bit of data about their customers. Custom machine learning models can be built to target specific questions.

Sales 137

Sales Marketing Dashboards Advertising 137

Cloudera

JANUARY 14, 2021

They are armed with more knowledge than ever before, as a result, four strategic pillars have emerged that have resulted as leading retailers and brands have deployed a data-centric strategy enabling a customer-first approach.

Cost-Benefit 72

Cost-Benefit Digital Transformation Sales IoT 72

bridgei2i

JULY 8, 2020

Now, how do you use signals from a pre-COVID world to predict a post-COVID demand scenario? Their head is like can we augment data from other data sources that can give us a glimpse into the future. Can we model the impact for such structural shocks? How do they translate into real-world behavior?

Digital Transformation 132

Digital Transformation Enterprise Insurance Risk 132

datapine

MARCH 25, 2022

There is not a clear line between business intelligence and analytics, but they are extremely connected and interlaced in their approach towards resolving business issues, providing insights on past and present data, and defining future decisions. What Is The Difference Between Business Intelligence And Business Analytics.

Business Intelligence 264

Business Intelligence Analytics Statistics Dashboards 264

Sisense

SEPTEMBER 12, 2019

We’ve even gone as far as saying that every company is a data company , whether they know it or not. And every business – regardless of the industry, product, or service – should have a data analytics tool driving their business. 3 Define how the data will be shared (and how it will be distributed).

Strategy 81

Strategy Dashboards Diagnostic Analytics Prescriptive Analytics 81

Smarten

SEPTEMBER 15, 2017

Requirements Planning for Data Analytics. Many organizations are so anxious to get into analytics that they fail to consider the depth and breadth of their needs. While it is true that advanced analytics can help every type and size of business, it is important to remember that YOUR organization is not like any other enterprise.

Analytics 40

Analytics Statistics Data Governance Cost-Benefit 40

CIO Business Intelligence

OCTOBER 4, 2022

Customers gravitate to personalized interactions and show a preference for companies that anticipate and cater to their unmet needs. Philips teams across the company use Healthsuite to build ML models that help the company’s healthcare customers unlock data insights, including clinical predictions and operational forecasts.

Data-driven 99

Data-driven Machine Learning Interactive Predictive Analytics 99

CIO Business Intelligence

JANUARY 12, 2024

The ascendancy of AI — generative AI in particular Traditional machine learning and artificial intelligence, as well as the hot, new offshoot generative AI, which creates content in response to queries addressed to large language models, are transforming CRM in multiple ways. Another important application of ML/AI is data analytics.

Sales 117

Sales Marketing Data-driven Interactive 117

Ontotext

FEBRUARY 26, 2024

From a technological perspective, RED combines a sophisticated knowledge graph with large language models (LLM) for improved natural language processing (NLP), data integration, search and information discovery, built on top of the metaphactory platform. Market sentiment analysis : Events can significantly influence market sentiment.

Data-driven 59

Data-driven Risk Modeling Risk Management 59

FineReport

JUNE 24, 2021

In addition to static data display, interactivity enables data to tell a story. For example, below, the report made by FineReport supports interactive actions, such as linkage, drilling, zooming, sorting, data monitoring, and automatic prompts. Predictive analytics and modeling.

Business Intelligence 84

Business Intelligence OLAP Data mining Visualization 84

AWS Big Data

MARCH 26, 2024

Customer 360 (C360) provides a complete and unified view of a customer’s interactions and behavior across all touchpoints and channels. This view is used to identify patterns and trends in customer behavior, which can inform data-driven decisions to improve business outcomes. Then, you transform this data into a concise format.

Data Strategy 68

Data Strategy Strategy Data Warehouse Prescriptive Analytics 68

AWS Big Data

MAY 16, 2024

However, visualizing and analyzing large-scale geospatial data presents a formidable challenge due to the sheer volume and intricacy of information. The need to balance detail and context while maintaining real-time interactivity can lead to issues of scalability and rendering complexity.

Data Warehouse 108

Data Warehouse Visualization Cost-Benefit Optimization 108

Corinium

APRIL 25, 2019

Ahead of the Chief Data Analytics Officers & Influencers, Insurance event we caught up with Dominic Sartorio, Senior Vice President for Products & Development, Protegrity to discuss how the industry is evolving. The protection policy follows the data. This is a much more proactive and scalable model.

Insurance 150

Insurance Risk IoT Cost-Benefit 150

Smart Data Collective

JANUARY 13, 2021

As scalability with big data accelerates, consumers and organizations around the world are starting to witness its impact. Every aspect of our lives has been shaped by big data to some degree. How is big data changing the Internet? Big Data is Changing the Direction of the Internet Forever.

Big Data 86

Big Data Machine Learning Data-driven Manufacturing 86

CIO Business Intelligence

JANUARY 22, 2024

Increasingly, the biggest obstacle businesses are facing when it comes to implementing this holistic approach to generative AI is data. In the initial stages of predictive analytics, the primary focus was on creating a powerful model, after which companies would input data, activate the model, and await results.

Data Governance 52

Data Governance Enterprise Statistics Modeling 52

FineReport

JULY 18, 2022

There exists a variety of data analysis tools for you to choose from. In order to assist you in selecting the one that best fits your company’s needs, let’s examine several best data analytics tools that are popular in 2022. How to Choose Data Analysis Tools. Python enjoys strong portability. RapidMiner.

Forecasting 52

Forecasting Dashboards Visualization Statistics 52

AWS Big Data

OCTOBER 18, 2023

Many customers migrate their data warehousing workloads to Amazon Redshift and benefit from the rich capabilities it offers, such as the following: Amazon Redshift seamlessly integrates with broader data, analytics, and AI or machine learning (ML) services on AWS , enabling you to choose the right tool for the right job.

Analytics 96

Analytics Data Warehouse Testing Dashboards 96

Decision Management Solutions

FEBRUARY 25, 2019

Decisions need to be made about products to be presented, offers, pricing, fulfillment, eligibility, and approval with speed, analytical precision and cross-channel consistency. Decisions are required to complete most customer interactions. Design and build a decision model. Focus on the decisions first.

Insurance 40

Insurance Management Machine Learning Modeling 40

datapine

APRIL 9, 2019

Moreover, interactive HR dashboard templates offer businesses the means to better understand their personnel, spot emerging problems or issues, and deploy proactive solutions to manage their HR departments in a more fluent, result-driven fashion. Support Business Strategy Development With Interactive HR Reports.

Reporting 155

Reporting Dashboards Metrics Cost-Benefit 155

Rocket-Powered Data Science

OCTOBER 6, 2023

Using the same statistical terminology, the conditional probability P(Y|X) (the probability of Y occurring, given the presence of precondition X) is an expression of predictive analytics. By exploring and analyzing the business data, analysts and data scientists can search for and uncover such predictive relationships.

Business Analytics 157

Business Analytics Prescriptive Analytics Analytics Diagnostic Analytics 157

datapine

JANUARY 31, 2022

Using business intelligence and analytics effectively is the crucial difference between companies that succeed and companies that fail in the modern environment. As the first and most impactful of all benefits of analytics, we have the ability to make informed strategic decisions backed by factual information.

Business Intelligence 214

Business Intelligence Analytics Cost-Benefit ROI 214

Smarten

JULY 13, 2023

Citizen Data Scientists Can Leverage Predictive Analytics for Real Actionable Intelligence! Gartner technology analysts predict that organizations leveraging augmented analytics solutions will grow at twice the rate of those that do not use these solutions.

Predictive Modeling 52

Predictive Modeling Predictive Analytics Cost-Benefit Advertising 52

Cloudera

JANUARY 25, 2022

Dashboards often look in the rearview mirror, focusing on historical data and not on future insights – ie, predictive analytics. . The explosion of new and more accessible ML tooling means there’s never been a better time to take the leap into predictive analytics than right now. . Create the Predict Function.

Visualization 91

Visualization Machine Learning Predictive Analytics Data-driven 91

AWS Big Data

NOVEMBER 7, 2023

. – Sunil Senan, SVP and Global Head of Data, Analytics, and AI, Infosys Amazon SageMaker Canvas integration with Amazon QuickSight We are empowering business analysts to create predictive, interactive dashboards by connecting Amazon SageMaker Canvas , our no-code ML service, with Amazon QuickSight , our BI service.

Dashboards 73

Dashboards Data-driven Data Integration Data Lake 73

datapine

NOVEMBER 27, 2019

Data exploded and became big. Spreadsheets finally took a backseat to actionable and insightful data visualizations and interactive business dashboards. The rise of self-service analytics democratized the data product chain. Suddenly advanced analytics wasn’t just for the analysts.

Business Intelligence 361

Business Intelligence Analytics Prescriptive Analytics Data Quality 361

Smarten

JULY 18, 2022

In any case, these candidates will typically be uniquely curious, interested in data analytics and devoted to fact-based decisions and team collaboration. Why is it important to implement a Citizen Data Scientist Program?

Uncertainty 52

Uncertainty Predictive Analytics Forecasting Analytics 52