CIO Business Intelligence

NOVEMBER 1, 2024

One of the world’s largest risk advisors and insurance brokers launched a digital transformation five years ago to better enable its clients to navigate the political, social, and economic waves rising in the digital information age. Simultaneously, major decisions were made to unify the company’s data and analytics platform.

IT 105

IT Insurance Consulting Risk 105

Smart Data Collective

FEBRUARY 14, 2023

One of the biggest is that more financial institutions are using predictive analytics tools to assist with asset management. Predictive Asset Analytics, Riskalyze and Altruist are some of the tools that use predictive analytics to improve asset management for both individual and institutional investors.

Predictive Analytics 132

Predictive Analytics Management Analytics Uncertainty 132

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

O'Reilly on Data

MARCH 31, 2020

Machine learning adds uncertainty. Underneath this uncertainty lies further uncertainty in the development process itself. There are strategies for dealing with all of this uncertainty–starting with the proverb from the early days of Agile: “ do the simplest thing that could possibly work.”

Management 363

Management Machine Learning Experimentation Metrics 363

Rocket-Powered Data Science

FEBRUARY 15, 2023

3) How do we get started, when, who will be involved, and what are the targeted benefits, results, outcomes, and consequences (including risks)? Those F’s are: Fragility, Friction, and FUD (Fear, Uncertainty, Doubt). (2) Why should your organization be doing it and why should your people commit to it? (3)

Strategy 290

Strategy Experimentation Uncertainty Machine Learning 290

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 100

Risk Optimization Management Insurance 100

O'Reilly on Data

JANUARY 22, 2019

All models, therefore, need to quantify the uncertainty inherent in their predictions. Yet, finance textbooks, programs, and professionals continue to use the normal distribution in their asset valuation and risk models because of its simplicity and analytical tractability. Let’s consider a specific example of interest rates.

Modeling 210

Modeling Finance Uncertainty Data mining 210

CIO Business Intelligence

AUGUST 15, 2024

The next generation of M&A strategy brings emerging digital capabilities to the forefront in support of both opportunities and risk mitigation. What data sources and analytics would enhance or expand positioning? Can improved customer analytics drive actionable insights? What capability gaps limit business performance?

Uncertainty 111

Uncertainty Risk Strategy Cost-Benefit 111

Cloudera

JUNE 1, 2021

In summary, the next chapter for Cloudera will allow us to concentrate our efforts on strategic business opportunities and take thoughtful risks that help accelerate growth. Integration between lifecycle analytic functions matters. The mission is to “Make data and analytics easy and accessible, for everyone.”

Uncertainty 144

Uncertainty Cost-Benefit Risk Strategy 144

CIO Business Intelligence

FEBRUARY 20, 2025

The new requirements will include creative and analytical thinking, technical skills, a willingness to engage in lifelong learning and self-efficacy. While data tends to be used in tactical-operational areas such as HR reporting and controlling, there is still room for improvement in the strategic area of people analytics.

Big Data 84

Big Data Measurement Visualization Machine Learning 84

BizAcuity

MARCH 18, 2019

The consumer lending business is centered on the notion of managing the risk of borrower default. Credit scoring systems and predictive analytics model attempt to quantify uncertainty and provide guidance for identifying, measuring and monitoring risk. Benefits of Predictive Analytics in Unsecured Consumer Loan Industry.

Predictive Analytics 83

Predictive Analytics Analytics Data mining Cost-Benefit 83

CIO Business Intelligence

DECEMBER 5, 2024

AI faces a fundamental trust challenge due to uncertainty over safety, reliability, transparency, bias, and ethics. Governance implications for key gen AI use cases Some key use cases for generative AI include increasing productivity, improving business functions, reducing risk, and boosting customer engagement.

Cost-Benefit 59

Cost-Benefit Uncertainty Marketing Risk 59

CIO Business Intelligence

APRIL 28, 2022

Right from the start, auxmoney leveraged cloud-enabled analytics for its unique risk models and digital processes to further its mission. Particularly in Asia Pacific , revenues for big data and analytics solutions providers hit US$22.6bn in 2020 , with financial services companies ranking among their biggest clients.

Analytics 98

Analytics Insurance Big Data Uncertainty 98

Sisense

MAY 31, 2021

You’ve decided you want to put data and analytics into your product, service, or experience. This kind of functionality isn’t just a “nice to have” anymore; users of all kinds demand it, and customer-facing analytics are revolutionizing businesses in every industry. So you already know you need analytics in your product.

Analytics 105

Analytics Uncertainty Visualization Risk 105

Jedox

APRIL 21, 2020

In the face of unprecedented uncertainty, the question is how to quickly evaluate risk, opportunities and competitively allocate capital. To understand the marginal impact of changes you need an analytical framework that measures shifts from baseline scenarios. In the face of uncertainty, investor relations are paramount.

Uncertainty 52

Uncertainty Modeling Management Finance 52

CIO Business Intelligence

NOVEMBER 15, 2022

Digitally reduce energy usage: Gartner believes that CIOs should use cloud, data and analytics to establish a “base load” – an overview of how much energy the organisation has consumed. Approximately 34% are increasing investment in artificial intelligence (AI) and 24% in hyper-automation as well.

Digital Transformation 143

Digital Transformation Machine Learning Experimentation Data-driven 143

Smart Data Collective

SEPTEMBER 7, 2021

Technologies became a crucial part of achieving success in the increasingly competitive market, including big data and analytics. Data-based insights can help make the right decisions, keep up with market trends and navigate the uncertainty. Amazon recommendation engine powered by data analytics generates 35% of all its sales.

Big Data 145

Big Data Technology Predictive Analytics Cost-Benefit 145

David Menninger's Analyst Perspectives

OCTOBER 23, 2024

Of course, messaging along these lines involves persuading a critical mass of buyers that there is no danger or uncertainty involved in taking a non-traditional approach to outfitting contact centers. It has intriguing analytics and agent-assist features, along with an environment for creating self-service and hybrid bot/human workflows.

Uncertainty 130

Uncertainty Marketing Management Enterprise 130

CIO Business Intelligence

MARCH 14, 2022

Hubbard defines measurement as: “A quantitatively expressed reduction of uncertainty based on one or more observations.”. This acknowledges that the purpose of measurement is to reduce uncertainty. And the purpose of reducing uncertainty is to make better decisions. But if precision matters, you’ll need more context.

Uncertainty 105

Uncertainty Measurement Cost-Benefit Optimization 105

CIO Business Intelligence

JUNE 19, 2024

Everyone remembers the guesswork and uncertainty of the pandemic. In future, this might disappear as AI-driven analytics makes predictions about viral evolution before it has happened. Underpinning all this is data, the element that fuels AI but also threatens it if security and privacy of patient records are put at risk in any way.

Uncertainty 145

Uncertainty Insurance Cost-Benefit Data-driven 145

Andrew White

MARCH 11, 2019

Data and analytics leaders are driving digital transformation, creating monetization opportunities, radically improving customer experience and reshaping industries. The time is right for them to exploit data in order to inform smarter actions that drive better, consistent organizational outcomes.

Analytics 58

Analytics Uncertainty Digital Transformation Risk 58

CIO Business Intelligence

JUNE 8, 2022

Digital disruption, global pandemic, geopolitical crises, economic uncertainty — volatility has thrown into question time-honored beliefs about how best to lead IT. If people need to go through multiple layers of approvals, they run the risk of building a very inefficient system. Tumultuous times redefine what constitutes success.

IT 133

IT Cost-Benefit Uncertainty Digital Transformation 133

IBM Big Data Hub

OCTOBER 2, 2023

In a world marked by volatility, uncertainty, complexity, and ambiguity (VUCA) building a holistic planning environment is inevitable for successful steering.” ” As they faced the issues of complexity and efficiency, Audi attempted to mitigate these problems by using analytics and other platforms.

Analytics 88

Analytics Manufacturing Uncertainty Machine Learning 88

The Unofficial Google Data Science Blog

DECEMBER 4, 2019

This classification is based on the purpose, horizon, update frequency and uncertainty of the forecast. A single model may also not shed light on the uncertainty range we actually face. It provides the occasion for deeper exploration of which inputs that can be influenced and which risks can be proactively managed.

Forecasting 115

Forecasting Data Science Statistics Uncertainty 115

erwin

AUGUST 13, 2020

managing risk vs ROI and emerging countries)? Compliance and Legislation : How do we manage uncertainty around legislative change (e.g., big data, analytics and insights)? Here are some of the issues and questions being raised: Growth : How do we define growth strategies (e.g., M&A, new markets, products and businesses).

Enterprise 143

Enterprise Cost-Benefit Uncertainty ROI 143

CIO Business Intelligence

JUNE 23, 2023

It helps reduce risk, increase efficiency, optimize resources, and improve both the customer and employee experience. When asked what keeps them up at night, IT leaders noted the need to improve overall IT performance (60%), followed by data security (50%), process risk and compliance (46%), and the need to improve agility (41%).

IT 98

IT Risk Management Risk Optimization 98

bridgei2i

JULY 8, 2020

They discuss the impact of the pandemic on enterprises and the need to adopt parallel windows – a short term window to get an enterprise’s operational system up and running as effectively as possible, and a medium-term outlook to mitigate the supply chain shocks and risks. Tune in, and don’t forget to subscribe!

Digital Transformation 132

Digital Transformation Enterprise Insurance Risk 132

CIO Business Intelligence

FEBRUARY 12, 2024

4 Additionally, while 63% have guardrails in place to use AI safely, these organizations worry about its role in misinformation, ethical bias and job loss among other risks, Wavestone found. Data analytics collected every step of the way will help assess performance and find blind spots that can hinder progress.

IT 137

IT Consulting Cost-Benefit Uncertainty 137

CIO Business Intelligence

OCTOBER 12, 2023

In other words, uncertainty abounds. For financial management, bundled features include SAP Analytics Cloud for planning, and S/4HANA Cloud for cash and receivables management. Chip Hanna, advisory practice leader for SAP at IT negotiation advisor UpperEdge, sees this complexity as a recurring feature of SAP’s pricing strategy.

Cost-Benefit 124

Cost-Benefit Uncertainty Enterprise Risk 124

CIO Business Intelligence

MAY 9, 2023

Or perhaps you choose to offload an analytics application to the public cloud for rapid scalability during peak traffic cycles. As you navigate the intricacies of workload placement, you face many challenges such as: Economic uncertainty (the market is whipsawing); deficit in IT talent (do you honestly recall a time this wasn’t an issue?);

ROI 126

ROI Cost-Benefit KPI Uncertainty 126

Sisense

MARCH 26, 2020

We provide actionable advice around how organizations, and ultimately the builders of data and analytic apps, are adapting to meet these changes. To effectively identify what measures need to be taken, analytics can help to summarize and predict how companies should evolve to survive in a challenging environment.

Management 91

Management Cost-Benefit Uncertainty Digital Transformation 91

CIO Business Intelligence

DECEMBER 10, 2024

The total value of private equity exits is on track to hit its lowest level in five years , this year, amid an environment of persistent macroeconomic uncertainty, skittishness in the IPO market, and continued geopolitical uncertainty. Data and AI need to be at the core of this transformation.

Uncertainty 97

Uncertainty Data-driven Marketing Insurance 97

CIO Business Intelligence

OCTOBER 8, 2024

There’s a constant risk of data science projects failing by (for example) arriving at an insight that managers already figured out by hook or by crook—or correctly finding an insight that isn’t a business priority. But this makes the process much slower by comparison.

Unstructured Data 117

Unstructured Data Data Science Uncertainty Sales 117

DataKitchen

SEPTEMBER 21, 2023

The uncertainty of not knowing where data issues will crop up next and the tiresome game of ‘who’s to blame’ when pinpointing the failure. There are multiple locations where problems can happen in a data and analytic system. One of the primary sources of tension? What is Data in Use?

Testing 169

Testing Data Quality Predictive Modeling Metrics 169

Smart Data Collective

APRIL 30, 2020

At this stage there is an insufficient amount of data concerning the health risks, so we must all take the same precautions for our own safety and for the safety of others around us. To minimise the risks that every organisation is vulnerable to, decision makers should seek expert assistance as an essential precaution.

Measurement 91

Measurement Uncertainty Risk Testing 91

CIO Business Intelligence

AUGUST 14, 2023

Without visualized analytics, it was difficult to bridge the void between expectation and accurate analysis. The objectives were lofty: integrated, scalable, and replicable enterprise management; streamlined business processes; and visualized risk control, among other aims, all fully integrating finance, logistics, production, and sales.

Key Performance Indicator 98

Key Performance Indicator Sales Manufacturing KPI 98

CIO Business Intelligence

APRIL 6, 2022

If anything, the past few years have shown us the levels of uncertainty we are facing. Infosys Living labs is a set of well-orchestrated innovation services for future-proofing customer businesses and de-risking their emerging technology transformations. Imtiaz (Taz) Sayed is the WW Analytics Tech Leader at AWS.

Experimentation 103

Experimentation Uncertainty Data Lake Enterprise 103