CIO Business Intelligence

FEBRUARY 10, 2023

Predictive analytics in business Predictive analytics draws its power from a wide range of methods and technologies, including big data, data mining, statistical modeling, machine learning, and assorted mathematical processes. Airlines frequently use predictive analytics to set ticket prices reflecting past travel trends.

Predictive Analytics 142

Predictive Analytics Analytics Predictive Modeling Forecasting 142

BizAcuity

JULY 13, 2021

Optimize your Go To Market: The gaming business consists of various applications like the gaming platforms (Casino, Live Dealer, Poker, Sports, Bingo, etc.), account platform, payment, affiliate, loyalty system, bonus and promotion systems, financial application, CRM system, and many others. Data Enrichment/Data Warehouse Layer.

Optimization 52

Optimization Marketing Analytics Data Warehouse 52

CIO Business Intelligence

AUGUST 7, 2023

As CIO of E&J Gallo Winery, Robert Barrios has made it a priority to lead transformation projects not with directives, but by cultivating the right blend of shared experiences and immersion in the business. If you are not actively doing that, you won’t be a change maker.”

IT 89

IT Sales Manufacturing Cost-Benefit 89

CIO Business Intelligence

JUNE 14, 2023

Certified Analytics Professional The Certified Analytics Professional (CAP) credential is a vendor- and technology-neutral analytics certification that certifies end-to-end understanding of the analytics process, from framing business and analytic problems to acquiring data, methodology, model building, deployment, and model lifecycle management.

Big Data 124

Big Data Data Analytics Analytics Predictive Modeling 124

FineReport

JUNE 7, 2024

Innovations such as AI-driven analytics, interactive dashboards , and predictive modeling set these companies apart. Boasting a user-centric approach, Alteryx’s key features include drag-and-drop functionalities and predictive modeling capabilities.

Visualization 52

Visualization Predictive Analytics Dashboards Predictive Modeling 52

Smarten

FEBRUARY 7, 2020

Assisted Predictive Modeling: The Word ‘Assisted’ is the Key! Assisted predictive modeling! It is true that without the skills and knowledge of a data scientist or a business analyst, predictive analysis can be a daunting task. The term sounds complex and intimidating, doesn’t it? The word ‘assisted’ is the key!

Predictive Analytics 67

Predictive Analytics Predictive Modeling Analytics Software 67

CIO Business Intelligence

JULY 5, 2022

Data analytics is used across disciplines to find trends and solve problems using data mining , data cleansing, data transformation, data modeling, and more. Business analytics also involves data mining, statistical analysis, predictive modeling, and the like, but is focused on driving better business decisions.

Business Analytics 130

Business Analytics Prescriptive Analytics Data mining Diagnostic Analytics 130

FineReport

APRIL 9, 2024

From advanced analytics to predictive modeling, the evolving landscape of business intelligence is revolutionizing how data is processed and leveraged for actionable insights. These benefits include enhanced operational efficiency through streamlined processes and optimized resource allocation.

Business Intelligence 52

Business Intelligence Software Data-driven Predictive Modeling 52

AWS Big Data

NOVEMBER 10, 2023

Your applications can seamlessly read from and write to your Amazon Redshift data warehouse while maintaining optimal performance and transactional consistency. Additionally, you’ll benefit from performance improvements through pushdown optimizations, further enhancing the efficiency of your operations.

Data Processing 94

Data Processing Data Lake Data Warehouse Optimization 94

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

BizAcuity

APRIL 1, 2023

Predictive Analytics It is a subset of business analytics that uses statistical techniques (algorithms) to find patterns in historical data points and predict future outcomes with high accuracy. For predictive analytics to deliver high accuracy, a lot depends on the combination of domain knowledge and technical expertise.

Machine Learning 52

Machine Learning Predictive Analytics Predictive Modeling Risk 52

CIO Business Intelligence

DECEMBER 11, 2023

They can even optimize capital allocation decisions, such as dividend distribution versus share buy-back, by rapidly modeling multiple scenarios and market conditions. Artificial intelligence has already unlocked opportunities that most organizations never thought possible. It’s a huge shift from the norm.

Finance 97

Finance Forecasting IoT Predictive Modeling 97

IBM Big Data Hub

JANUARY 25, 2024

The math demonstrates a powerful truth All predictive models, including AI, are more accurate when they incorporate diverse human intelligence and experience. Consider the diversity prediction theorem. So, it’s not just volume, but diversity that improves predictions.

Predictive Modeling 84

Predictive Modeling Modeling Risk Statistics 84

BizAcuity

JANUARY 18, 2023

Predictive Analytics. It is a subset of business analytics that uses statistical techniques (algorithms) to find patterns in historical data points and predict future outcomes with high accuracy. For predictive analytics to deliver high accuracy, a lot depends on the combination of domain knowledge and technical expertise.

Machine Learning 52

Machine Learning Predictive Analytics Predictive Modeling Risk 52

Smarten

SEPTEMBER 28, 2022

Gartner has predicted that, ‘Overall analytics adoption will increase from 35% to 50%, driven by vertical and domain-specific augmented analytics solutions.’ Predictive analytics uses sophisticated analytical methodologies to predict future outcomes based on historical data. Marketing Optimization. Customer Churn.

Predictive Analytics 52

Predictive Analytics Analytics Predictive Modeling Forecasting 52

Smarten

FEBRUARY 7, 2019

Augmented Analytics , Assisted Predictive Modeling , Smart Data Visualization , Self-Serve Data Preparation and Search Analytics are designed to help the average business user with auto-suggestions and recommendations on how to prepare and view data to achieve the best outcomes and make analysis easy and clear.

Optimization 40

Optimization Analytics Predictive Modeling Data-driven 40

CIO Business Intelligence

MARCH 22, 2022

Nvidia is hoping to make it easier for CIOs building digital twins and machine learning models to secure enterprise computing, and even to speed the adoption of quantum computing with a range of new hardware and software. Nvidia claims it can do so up to 45,000 times faster than traditional numerical prediction models.

Modeling 130

Modeling Machine Learning Forecasting Optimization 130

CIO Business Intelligence

MAY 9, 2024

At a high level, a CAIO will need to understand the business well enough to identify where AI can make an impact, whether through new value streams or optimization, Daly says. And they should have a proficiency in data science and analytics to effectively leverage data-driven insights and develop AI models.

Risk Management 136

Risk Management Risk Cost-Benefit Technology 136

Cloudera

JUNE 27, 2023

During the COVID-19 pandemic, telcos made unprecedented use of data and data-driven automation to optimize their network operations, improve customer support, and identify opportunities to expand into new markets. Appliance-based models are usually significantly more expensive than disaggregated solutions.

Data Architecture 64

Data Architecture Predictive Modeling Data Governance Data-driven 64

IBM Big Data Hub

MAY 16, 2023

These components come together to create end-to-end operations efficiency, experience optimization and data optimization. MMS for campaign support includes: Design and planning Execution Optimization Performance evaluation 2. To carry out this transformation, the organization worked with IBM to redesign its operating model.

Marketing 69

Marketing Management Optimization Cost-Benefit 69

Smarten

MAY 14, 2019

If a business wishes to optimize inventory, production and supply, it must have a comprehensive demand planning process; one that can forecast for customer segment growth, seasonality, planned product discounting or sales, bundling of products, etc. Marketing Optimization. Predictive Analytics Using External Data. Loan Approval.

Predictive Analytics 56

Predictive Analytics Analytics Predictive Modeling Forecasting 56

DataRobot

NOVEMBER 1, 2021

Practitioners in the AI space are focused on the speed and accuracy of model predictions. But the end game for the applicability of models is not in the predictions, but the decisions they enable, and predictive models alone don’t ensure better decisions. What Is Decision Intelligence?

Machine Learning 98

Machine Learning Manufacturing Predictive Modeling Optimization 98

Smarten

MARCH 23, 2020

Predictive Analytics for Business Users = Assisted Predictive Modeling! These types of decision-making can be particularly dangerous to your business when they are applied to predicting and forecasting. Are you tired of using guesswork and opinions to make business decisions?

Predictive Analytics 52

Predictive Analytics Forecasting Predictive Modeling Analytics 52

IBM Big Data Hub

MAY 17, 2024

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

B2B 65

B2B Interactive Optimization Forecasting 65

DataRobot

OCTOBER 19, 2021

By leveraging prediction and augmented decision-making, governments can address the needs of taxpayers proactively while quickly adapting to evolving circumstances. DataRobot helped combat this problem head on by applying AI to evaluate and predict resource allocation and identify the most impacted communities from a national to county level.

Forecasting 98

Forecasting Predictive Modeling Optimization Testing 98

Smarten

JUNE 8, 2022

‘Citizen Data Scientists can create new models, share models and collaborate, thereby improving business results and data literacy.’. In this article, we provide some examples of what a Citizen Data Scientist can do to advance the goals and interests of the organization and optimize their productivity and performance.

Predictive Analytics 52

Predictive Analytics Predictive Modeling Forecasting Optimization 52

IBM Big Data Hub

MAY 6, 2024

Predicting site performance, spotting underperforming sites and formulating timely interventions are essential. Optimize protocols using historical and synthetic data Complex and stringent protocols are notorious for delaying clinical trials and eroding patient engagement. Grasping these dimensions sharpens the recruitment lens.

Advertising 80

Advertising Data-driven Optimization Strategy 80

Smart Data Collective

APRIL 21, 2022

To properly optimize the overall solar farm efficiency, every solar panel must operate at its peak capacity. To optimize solar farm operations, the farm will require the incorporation of IoT technologies. The Internet of Things is one of the fastest growing industries. Many industries are helping drive growth for the IoT.

IoT 99

IoT Internet of Things Forecasting Predictive Modeling 99

DataKitchen

JUNE 19, 2023

Our customers start looking at the data in dashboards and models and then find many issues. Perhaps we could just chill out in those stressful situations and “let go,” as the Buddha suggests. The spiritual benefits of letting go may be profound, but finding and fixing the problem at its root is, as Samuel Florman writes, “ existential joy.”

Testing 130

Testing Cost-Benefit Metrics Data Quality 130

Smarten

MAY 17, 2019

Predictive analytics can help the business to understand online buying behavior, and when, where and how to serve ads, market products and offer discounts or other incentives. Predictive analytics will help you optimize your marketing budget and improve brand loyalty. Marketing Optimization. Customer Targeting.

Predictive Analytics 51

Predictive Analytics Marketing Analytics Predictive Modeling 51

Smarten

MAY 17, 2019

Whether you need to anticipate and plan for equipment maintenance, target online customers, control customer churn, or identify ways to cross-sell and upsell customers on existing and new products and services, these predictive analytics tools can help you to optimize your marketing budget and your resources and mitigate risk and market missteps.

Predictive Analytics 65

Predictive Analytics Forecasting Analytics Predictive Modeling 65

Smarten

SEPTEMBER 26, 2018

How Can My Business Use Assisted Predictive Modeling to Optimize Resources? There was a time, not so long ago, when predictive analysis, business forecasting and planning for results involved guesswork and lots of unscientific review of historical data.

Predictive Modeling 40

Predictive Modeling Predictive Analytics Forecasting Optimization 40

CIO Business Intelligence

OCTOBER 4, 2022

They identified two architectural elements for processing and delivering data: the “data platform,” which covers the sourcing, ingestion, and storage of data sets, and the “machine learning (ML) system,” which trains and productizes predictive models using input data. Data architecture coherence. The study results don’t surprise us.

Machine Learning 104

Machine Learning Data Architecture Uncertainty Data-driven 104

Smart Data Collective

MARCH 28, 2022

Businesses can use it to optimize their performance. There are four main types of data analytics: Predictive data analytics: It is used to identify various trends, causation, and correlations. It can be further classified as statistical and predictive modeling, but the two are closely associated with each other.

Data Analytics 84

Data Analytics Software Analytics Statistics 84

CIO Business Intelligence

OCTOBER 5, 2023

CBRE has also used AI to optimize portfolios for several clients, and recently launched a self-service generative AI product that enables employees to interact with CBRE and external data in a conversational manner. Let’s start with the models. For AI, the high-value quadrant is where you’ll find most predictive modeling.

Experimentation 124

Experimentation Strategy Machine Learning Interactive 124

Sisense

FEBRUARY 25, 2021

So when making a prediction, there is a best fit that can give a user optimal predictions. Understanding the nuances of forecasting models is highly technical work, so rather than making a user manually choose one of the models, a properly designed system can take all of them together and run what’s called an “ensemble.”

Forecasting 52

Forecasting Analytics Predictive Modeling Machine Learning 52

Smarten

MAY 15, 2019

If an organization is going to successfully target customers and make optimal use of its marketing budget, it must understand customer buying behavior, and categorize its products and services to target the right customer segments and preferences. Marketing Optimization. Predictive Analytics Using External Data. Customer Churn.

Predictive Analytics 51

Predictive Analytics Analytics Predictive Modeling Recreation/Entertainment 51