datapine

OCTOBER 21, 2020

One of the most notable areas where data analytics is making big changes is healthcare. In fact, healthcare analytics has the potential to reduce costs of treatment, predict outbreaks of epidemics, avoid preventable diseases, and improve the quality of life in general. Download our free bite-sized summary and see our top examples!

Big Data 364

Big Data Data Analytics Analytics Cost-Benefit 364

Rocket-Powered Data Science

JULY 19, 2023

I recently saw an informal online survey that asked users which types of data (tabular, text, images, or “other”) are being used in their organization’s analytics applications. The results showed that (among those surveyed) approximately 90% of enterprise analytics applications are being built on tabular data.

Data-driven 188

Data-driven Enterprise Analytics Machine Learning 188

Rocket-Powered Data Science

OCTOBER 6, 2023

Decades (at least) of business analytics writings have focused on the power, perspicacity, value, and validity in deploying predictive and prescriptive analytics for business forecasting and optimization, respectively. How do predictive and prescriptive analytics fit into this statistical framework?

Business Analytics 157

Business Analytics Prescriptive Analytics Analytics Diagnostic Analytics 157

Cloudera

JULY 15, 2021

We recently hosted a roundtable focused on o ptimizing risk and exposure management with data insights. For financial institutions and insurers, risk and exposure management has always been a fundamental tenet of the business. Now, risk management has become exponentially complicated in multiple dimensions. .

Risk 99

Risk Optimization Management Insurance 99

datapine

NOVEMBER 27, 2019

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. The analytics trends in data quality grew greatly this past year.

Business Intelligence 361

Business Intelligence Analytics Prescriptive Analytics Data Quality 361

CIO Business Intelligence

APRIL 15, 2022

Organizations across every industry have been and continue to invest heavily in data and analytics. But like oil, data and analytics have their dark side. According to CIO’s State of the CIO 2022 report, 35% of IT leaders say that data and business analytics will drive the most IT investment at their organization this year.

Analytics 145

Analytics Machine Learning Insurance Testing 145

datapine

MARCH 25, 2022

1) What Is Business Intelligence And Analytics? If someone puts you on the spot, could you tell him/her what the difference between business intelligence and analytics is? We already saw earlier this year the benefits of Business Intelligence and Business Analytics. What Is Business Intelligence And Analytics?

Business Intelligence 264

Business Intelligence Analytics Statistics Dashboards 264

AWS Big Data

MAY 28, 2024

Welcome back to our exciting exploration of architectural patterns for real-time analytics with Amazon Kinesis Data Streams! Before we dive in, we recommend reviewing Architectural patterns for real-time analytics using Amazon Kinesis Data Streams, part 1 for the basic functionalities of Kinesis Data Streams.

IoT 63

IoT Analytics Dashboards Data-driven 63

Cloudera

SEPTEMBER 22, 2022

In this post, I’ll explore opportunities to enhance risk assessment and underwriting, especially in personal lines and small and medium-sized enterprises. To me, this means that by applying more data, analytics, and machine learning to reduce manual efforts helps you work smarter. Step one: gather the data.

Analytics 99

Analytics Insurance IoT Risk 99

IBM Big Data Hub

OCTOBER 16, 2023

As more businesses use AI systems and the technology continues to mature and change, improper use could expose a company to significant financial, operational, regulatory and reputational risks. It encompasses risk management and regulatory compliance and guides how AI is managed within an organization.

Risk 74

Risk Modeling Management Metadata 74

bridgei2i

JUNE 2, 2020

Episode 7: The Impact of COVID-19 on Financial Services & Risk. The Impact of COVID-19 on Financial Services & Risk Management. I collaborate with multiple stakeholders across many global companies enabling high impact business transformation strategies, and guiding them in their analytics journey. Management.

Risk Management 128

Risk Management Risk Enterprise Management 128

Sisense

JANUARY 7, 2022

As businesses adapt to the pandemic and shift to new norms, risk mitigation strategies have become as normal and ubiquitous as having a fire escape in the office. Smarter, AI-driven learning and development initiatives will help mitigate risk in our rapidly evolving world. Minimising risk by ‘infusing’ AI. ” Anna adds.

Risk Management 52

Risk Management Risk Management Dashboards 52

bridgei2i

JANUARY 17, 2021

Case study: Emerging Risk Identification for Personal Lines Insurance. The client, a global insurance leader, wanted to identify emerging risks, associated drivers & trends by analyzing various external data sources including medical journals, legal opinion blogs, newsfeed & social media. Business Context.

Insurance 52

Insurance Risk Interactive Enterprise 52

Corinium

JUNE 6, 2019

Will you please describe your role at Fractal Analytics? Are you seeing currently any specific issues in the Insurance industry that should concern Chief Data & Analytics Officers? Are you seeing currently any specific issues in the Insurance industry that should concern Chief Data & Analytics Officers?

Insurance 250

Insurance Analytics Forecasting Deep Learning 250

CIO Business Intelligence

JUNE 29, 2022

There is growing belief that businesses are set to spend huge amounts of money on predictive analytics. While in 2021, the global market for corporate predictive analytics was worth $10 billion, it is forecast to balloon to $28 billion by 2026. One thing is certain: the adoption of predictive analytics will continue.

Predictive Analytics 136

Predictive Analytics Analytics Data-driven Forecasting 136

datapine

APRIL 15, 2020

When encouraging these BI best practices what we are really doing is advocating for agile business intelligence and analytics. In our opinion, both terms, agile BI and agile analytics, are interchangeable and mean the same. What Is Agile Analytics And BI? Agile Business Intelligence & Analytics Methodology.

Business Intelligence 276

Business Intelligence Analytics Testing Dashboards 276

Cloudera

AUGUST 3, 2021

Advanced analytics empower risk reduction . Advanced analytics and enterprise data are empowering several overarching initiatives in supply chain risk reduction – improved visibility and transparency into all aspects of the supply chain balanced with data governance and security. .

Analytics 109

Analytics Digital Transformation Forecasting Risk 109

bridgei2i

NOVEMBER 20, 2020

Episode 2: AI enabled Risk Management for FS powered by BRIDGEi2i Watchtower. AI enabled Risk Management for FS powered by BRIDGEi2i Watchtower. Today the Chief Risk Officers(CROs) struggle with the critical task of monitoring and assessing key risks in real time and firefight to mitigate any critical issues that arise.

Risk Management 92

Risk Management Risk Management Metrics 92

Smart Data Collective

MAY 8, 2022

Big data, analytics, and AI all have a relationship with each other. For example, big data analytics leverages AI for enhanced data analysis. Brands are closely working to solve this as they dive deep into the world of big data analytics. What is the relationship between big data analytics and AI? Business analytics.

Big Data 105

Big Data Data Analytics Analytics Cost-Benefit 105

Smart Data Collective

JUNE 8, 2023

many of our articles have centered around the role that data analytics and artificial intelligence has played in the financial sector. The Sports Analytics Market is expected to be worth over $22 billion by 2030. Data analytics can impact the sports industry and a number of different ways. The sports industry is among them.

Data Analytics 82

Data Analytics Analytics Data Collection Statistics 82

datapine

DECEMBER 4, 2019

Predictive & Prescriptive Analytics. Predictive Analytics: What could happen? We mentioned predictive analytics in our business intelligence trends article and we will stress it here as well since we find it extremely important for 2020. The commercial use of predictive analytics is a relatively new thing.

Business Intelligence 212

Business Intelligence Prescriptive Analytics Analytics Predictive Analytics 212

Jet Global

APRIL 12, 2024

If you want to empower your users to make better decisions, advanced analytics features are crucial. These include artificial intelligence (AI) for uncovering hidden patterns, predictive analytics to forecast future trends, natural language querying for intuitive exploration, and formulas for customized analysis.

Analytics 52

Analytics Data-driven Dashboards Reporting 52

Cloudera

MAY 18, 2021

With Flink SQL, business analysts, developers, and quants alike can quickly build a streaming pipeline to perform complex data analytics in real time. Value-at-Risk (VaR) is a widely used metric in risk management. It helps identify risk exposures, informs pre-trade decisions, and is reported to regulators for stress testing.

Risk 96

Risk Marketing Risk Management Data-driven 96

datapine

SEPTEMBER 4, 2019

That being said, in this post, we will explain what is a dashboard in business, the features of strategic, tactical, operational and analytical dashboards, and expound on examples that these different types of dashboards can be used. Encourages interactivity and analysis. But what do you do with all this business intelligence?

Dashboards 263

Dashboards Analytics Key Performance Indicator Sales 263

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. Companies want candidates who can drive innovation, deliver meaningful business results, and work closely with other leaders to manage risks.

Risk Management 137

Risk Management Risk Cost-Benefit Technology 137

Smart Data Collective

NOVEMBER 16, 2021

While text analytics and mining remain fledgling technologies, they are already helping businesses in numerous impressive ways. With over 2,000 cyberattacks every day, companies of all sizes are at risk. However, text analytics can help in numerous ways, not least real-time protection. Boosting Cybersecurity. Public Relations.

Analytics 118

Analytics Unstructured Data Data Collection Software 118

Smarten

SEPTEMBER 28, 2022

Apply Predictive Analytics to Specific Business Use Cases for Real Results! Gartner has predicted that, ‘Overall analytics adoption will increase from 35% to 50%, driven by vertical and domain-specific augmented analytics solutions.’ Predictive Analytics Using External Data. Plan and forecast accurately.’. Customer Churn.

Predictive Analytics 52

Predictive Analytics Analytics Predictive Modeling Forecasting 52

Smart Data Collective

AUGUST 19, 2021

So, with that in mind, how have analytics contributed to product development? In this article, we’ll be looking at how data analytics can help in product development and where it’s going in the future. How can data analytics help in product development? How can data analytics help in product development? User experience.

Analytics 126

Analytics Cost-Benefit Software Testing 126

Smart Data Collective

MAY 19, 2023

AI also allows credit card companies to take advantage of predictive analytics capabilities, which can help make better decisions and identify trends in the market. As such, it is changing the way we interact with our finances daily. Predictive analytics is now being used to enhance how credit and debit cards are used in real-time.

Analytics 79

Analytics Cost-Benefit Predictive Analytics Marketing 79

CIO Business Intelligence

AUGUST 3, 2023

When global technology company Lenovo started utilizing data analytics, they helped identify a new market niche for its gaming laptops, and powered remote diagnostics so their customers got the most from their servers and other devices. Each of the acquired companies had multiple data sets with different primary keys, says Hepworth. “We

Analytics 95

Analytics Data Lake Metadata Cost-Benefit 95

IBM Big Data Hub

SEPTEMBER 21, 2022

My journey with IBM Planning Analytics started with an early morning phone call to tell me that a member of my team had died, suddenly and unexpectedly. If there was ever an example of key-person risk, this was it. By having full visibility of our data with IBM Planning Analytics, we could finally make sense of all our data together.

Analytics 56

Analytics Forecasting Risk Data-driven 56

FineReport

AUGUST 13, 2021

Insurance companies provide risk management in the form of insurance contracts. Insurance dashboards are using BI and analytics to provide essential insights to empower the insurance business. Allow Interactive Display. I have introduced some benefits of interactive reports. Insurance Dashboard (by FineReport).

Insurance 52

Insurance Dashboards KPI Analytics 52

CIO Business Intelligence

APRIL 12, 2022

Specifically, they’re looking at these areas: Centralized supply chain planning Advanced analytics Reskilling the labor force for digital planning and monitoring In the never-ending hunt for maximum efficiency and cost savings, supply chain digitization correlates closely with smart manufacturing processes. Complex infrastructure not needed.

IoT 105

IoT Analytics Manufacturing Cost-Benefit 105

AWS Big Data

JANUARY 31, 2024

Capturing every single message is critical for transaction cost analytics, market liquidity monitoring, trading strategy evaluation, and market research. In the Analytics engine section, select Apache Spark. After your notebook is created, you will be redirected to the interactive notebook editor.

Marketing 86

Marketing Analytics Visualization Strategy 86

Smart Data Collective

JUNE 26, 2019

The insurance industry is based on the idea of managing risk. To determine this risk, the industry must consult data and see what trends are evident to draft their risk profiles. The twenty-first century offers a lot of exciting innovations when it comes to data processing and analytics.

Insurance 94

Insurance Data Analytics Analytics IoT 94

Andrew White

AUGUST 7, 2020

Here is a reference to the range and breadth of data and analytics hype in the market. Hype Cycle for Enterprise Information Management, 2020 Hype around data and analytics continues at fever pitch, driven in part by increased demands related to COVID-19. Start by understanding how to use and read a hype cycle.

Publishing 104

Publishing Analytics Machine Learning Data-driven 104

Jet Global

MAY 1, 2023

Introduction Why should I read the definitive guide to embedded analytics? But many companies fail to achieve this goal because they struggle to provide the reporting and analytics users have come to expect. The Definitive Guide to Embedded Analytics is designed to answer any and all questions you have about the topic.

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52