AWS Big Data

MARCH 26, 2024

A Gartner Marketing survey found only 14% of organizations have successfully implemented a C360 solution, due to lack of consensus on what a 360-degree view means, challenges with data quality, and lack of cross-functional governance structure for customer data.

Data Strategy 84

Data Strategy Strategy Data Warehouse Prescriptive Analytics 84

CIO Business Intelligence

MARCH 19, 2025

However, embedding ESG into an enterprise data strategy doesnt have to start as a C-suite directive. Developers, data architects and data engineers can initiate change at the grassroots level from integrating sustainability metrics into data models to ensuring ESG data integrity and fostering collaboration with sustainability teams.

IT 59

IT Data Governance Data-driven Metrics 59

TreehouseTechGroup

JULY 30, 2020

When data analytics, statistical algorithms, and machine learning come together, this super-power, also called predictive analytics, becomes a capability that can have a huge impact on business decisions and results.

Predictive Analytics 52

Predictive Analytics Analytics Statistics Machine Learning 52

Smart Data Collective

DECEMBER 22, 2021

Big data technology is one of the most important forms of technology that new startups must use to gain a competitive edge. The success of your startup might depend on your ability to use big data to your full advantage. The right data strategy can help your startup become profitable.

Big Data 145

Big Data Data mining Data-driven Predictive Analytics 145

CIO Business Intelligence

APRIL 8, 2024

Improving player safety in the NFL The NFL is leveraging AI and predictive analytics to improve player safety. Like other data-driven initiatives, Souza says Digital Athlete uses data rather than hunches and instinct to understand what’s happening on the field during games and practices.

Analytics 118

Analytics Broadcasting Predictive Analytics Machine Learning 118

Smart Data Collective

MARCH 2, 2023

One of the best tactics is to use data mining tools to learn more about customers on social media. Predictive analytics technology can help companies forecast demand One of the biggest challenges businesses face in any economy is predicting demand for their products or services.

Big Data 105

Big Data Uncertainty Risk Data mining 105

CIO Business Intelligence

OCTOBER 4, 2022

Business leaders, recognizing the importance of elevated customer experiences, are looking to the CIO and their IT teams to help harness the power of data, predictive analytics, and cloud resources to create more engaging, seamless experiences for customers. Embed CX into your data strategy.

Data-driven 111

Data-driven Machine Learning Interactive Predictive Analytics 111

Smart Data Collective

FEBRUARY 20, 2022

One survey published on CIO found that less than a third of companies have reported that big data has buy-in from top executives. If you are running a business that has not yet adapted a data strategy, you should keep reading. You will get a better sense of the reasons that you should make investing in big data a top priority.

Big Data 131

Big Data Management Finance Data-driven 131

Smart Data Collective

JANUARY 13, 2021

Although the influence big data has had on software and other facets of the Internet are evident, they are still difficult to conceptualize for many people. However, advances in big data have also changed Internet hardware technology needs. As we stated in the past, big data strategies require a great Internet connection.

Big Data 121

Big Data Machine Learning Data-driven Manufacturing 121

Smart Data Collective

AUGUST 21, 2019

According to research from Meticulous Research, big data is going to play a huge part in this. Understanding the Nature of Digital Products and Building a Data Strategy Around Them. They can use many different types of machine learning and predictive analytics technology to get the most of it.

Big Data 95

Big Data Sales Marketing Predictive Analytics 95

Cloudera

MARCH 17, 2022

The public sector already recognizes the enormous potential value of data. That’s ultimately the driver behind the Federal Data Strategy and the 10-year plan , and a host of initiatives such as the State Department’s milestone “Enterprise Data Strategy: Empowering Data Informed Diplomacy” released in 2021. .

IoT 86

IoT Cost-Benefit Data-driven Data Strategy 86

TDAN

JULY 6, 2021

Using reliable insights to keep up with rapid market changes, businesses are also deploying data mining and predictive analytics across massive amounts of clickstream and transactional data. With the continuous evolution of technology and daily shifts in shopping trends, eCommerce is constantly adapting.

Management 98

Management Data mining Predictive Analytics Marketing 98

Smart Data Collective

SEPTEMBER 15, 2019

However, you will have a hard time getting by without a sound big data strategy in 2019. Here are some ways big data can help. Choosing a niche with big data and predictive analytics. This is the biggest way that big data can help. To successfully find your niche, do market research.

Big Data 101

Big Data Optimization Insurance Predictive Analytics 101

Smart Data Collective

NOVEMBER 24, 2019

There are a number of ways that big data is changing the nature of these relationships. One of the biggest applications is that new predictive analytics models are able to get a better understanding of the relationships between employees and find areas where they break down.

Big Data 101

Big Data Modeling ROI Predictive Analytics 101

Smart Data Collective

SEPTEMBER 23, 2021

Creative firms that understand big data will be able to come up with more informed observations. They will be able to identify trends more easily by using sophisticated predictive analytics models predicated on big data. This will help them develop a data-driven marketing model that aligns with your needs.

Data Analytics 132

Data Analytics Analytics Big Data Cost-Benefit 132

Sisense

SEPTEMBER 9, 2019

We knew our journey with predictive analytics and sentiment analysis was going to be a gradual progression that would eventually help us understand and better serve our customers. Then we ran Kraken’s machine learning and predictive modeling engine to get the results. Full circle data experience: achieved.

Predictive Analytics 75

Predictive Analytics Predictive Modeling Data-driven Forecasting 75

CIO Business Intelligence

OCTOBER 13, 2023

Established and emerging data technologies: Data architects need to understand established data management and reporting technologies, and have some knowledge of columnar and NoSQL databases, predictive analytics, data visualization, and unstructured data.

Data Architecture 132

Data Architecture Data Warehouse Statistics Visualization 132

Srividya Sridharan

OCTOBER 22, 2019

It’s T minus two weeks to Forrester’s 2nd Data Strategy & Insights Forum in Austin, TX. Over 300 data and analytics leaders will gather to share, learn and get inspired!

Strategy 83

Strategy Data Analytics Analytics Data Strategy 83

CIO Business Intelligence

AUGUST 18, 2022

The result is an emerging paradigm shift in how enterprises surface insights, one that sees them leaning on a new category of technology architected to help organizations maximize the value of their data. Enter the data lakehouse.

Data Lake 140

Data Lake Data Warehouse Unstructured Data Business Intelligence 140

IBM Big Data Hub

SEPTEMBER 19, 2023

How effectively and efficiently an organization can conduct data analytics is determined by its data strategy and data architecture , which allows an organization, its users and its applications to access different types of data regardless of where that data resides.

Data Science 76

Data Science Data Analytics Prescriptive Analytics Analytics 76

BizAcuity

MARCH 31, 2022

AI Adoption and Data Strategy. Lack of a solid data strategy. For the first, it is in best interest to do your own research, talk to friends, professionals and approach data services companies like ours. Data strategy allows you to build a roadmap to adopt AI. (Source: PwC).

Data Analytics 52

Data Analytics Analytics Prescriptive Analytics Predictive Analytics 52

Octopai

JUNE 9, 2024

This challenge is especially critical for executives responsible for data strategy and operations. Here’s how automated data lineage can transform these challenges into opportunities, as illustrated by the journey of a health services company we’ll call “HealthCo.”

IT 52

IT Data-driven Predictive Analytics Data Strategy 52

Occam's Razor

MARCH 23, 2021

Finally, few analytics teams obsess about predictive analytics in a way that allows them to dictate future action. This is a huge miss… Left to their own accord, how many companies will make the same decisions data would recommend? Analytics on the Edge. It is very unique and difficult work.

Analytics 133

Analytics Scorecard Strategy Testing 133

CIO Business Intelligence

FEBRUARY 16, 2023

“As the information layer gets mature, that’s where the ML and the AI will start seeing some green shoots,” he says, adding that although data transformation was a pressing need when he signed on in 2021, he wanted a more compelling vision to sell the board and business leaders on tackling it. The offensive side?

Unstructured Data 105

Unstructured Data Data Lake Prescriptive Analytics Data Warehouse 105

CIO Business Intelligence

JULY 31, 2023

To keep up with the unsettling pace, Swiss Re, one of the world’s largest reinsurers, now leverages predictive analytics, machine learning (ML), and artificial intelligence (AI) to help its clients anticipate disasters and mitigate costs. “If In 2023, through July 11, NOAA confirmed 12 such events, including floods and severe storms.

Insurance 98

Insurance Strategy Data-driven Modeling 98

Smart Data Collective

MAY 2, 2019

Big data is becoming more important in the new economy. Without a stellar big data strategy in place, many businesses are doomed to the day they open their doors. Unfortunately, this figure might be even higher for companies that don’t utilize big data to their full advantage.

Big Data 93

Big Data Marketing Sales Machine Learning 93

Sisense

SEPTEMBER 12, 2019

A business intelligence strategy is a blueprint that enables businesses to measure their performance, find competitive advantages, and use data mining and statistics to steer the business towards success. . Every company has been generating data for a while now. The question is, what are you doing with it?

Strategy 81

Strategy Dashboards Diagnostic Analytics Prescriptive Analytics 81

BizAcuity

MAY 16, 2022

So much so that they can predict certain aspects about their customers with high accuracy. For business intelligence to work out for your business – Define your data strategy roadmap. Your data strategy and roadmap will eventually lead you to a BI strategy.

Business Intelligence 52

Business Intelligence Data mining Visualization Data Lake 52

Cloudera

JANUARY 5, 2023

What is certain is that having an enterprise data strategy aligned to the organization’s cloud strategy and business priorities will help the organization drive greater business value by improving operational efficiencies and unlocking new revenue streams.

Cost-Benefit 52

Cost-Benefit Business Objectives Machine Learning Data Architecture 52

Alation

MARCH 21, 2023

Seasonality and trend predictions Many online travel companies use dynamic and flexible pricing strategies to respond to changes in demand and supply. Using predictive analytics, travel companies can forecast customer demand around things like holidays or weather to set optimum prices that maximize revenue.

Data Analytics 52

Data Analytics Analytics Data-driven Big Data 52

IBM Big Data Hub

AUGUST 7, 2023

Provides timely information that enables proactive evidence-based decision-making enabling minor course corrections with larger impact, such as adjusting strategies, allocating resources to ensure a clinical trial stays on track, thus helping to maximize the success of the trial.

Optimization 55

Optimization Forecasting Data-driven Strategy 55

TDAN

AUGUST 18, 2020

Modern business is all about data, and when it comes to increasing your advantage over competitors, there is nothing like experimentation. Experiments in data science are the future of big data. Already, data scientists are making big leaps forward. Innovations can now win the future.

Experimentation 59

Experimentation Data Science Big Data Internet of Things 59

Boris Evelson

AUGUST 25, 2022

What differentiates these firms is that they have consistently invested time, effort, and resources across the five IDB competencies: strategy, data, platforms, internal partners, and practices. In our latest updated research, we found that: More […].

Data-driven 10

Data-driven Strategy Predictive Analytics Customer Analytics 10

Data Virtualization

MAY 13, 2022

Reading Time: 3 minutes Join our conversation on All Things Data with Robin Tandon, Director of Product Marketing at Denodo (EMEA & LATAM), with a focus on how data virtualization helps customers realize true economic benefits in as little as six weeks.

Data Integration 52

Data Integration Marketing Management Data Warehouse 52

Data Virtualization

SEPTEMBER 23, 2020

Denodo is a very partner-friendly company, and here I’d like to share some thoughts about how Denodo works with our partners. I’m referring not only to our technology partners, but also to our cloud partners that host the Denodo Platform,

Strategy 52

Strategy Data Processing Technology Digital Transformation 52

CIO Business Intelligence

JANUARY 12, 2024

In the past, CRM dashboards contained historic data and trends that may or may not have been useful or actionable. With AI, CRM systems can analyze vast amounts of data to deliver predictive analytics on business outcomes. It enables employees to “interrogate the data differently,” adds Forrester analyst Kate Leggett. “I

Sales 128

Sales Marketing Data-driven Interactive 128

Grooper

AUGUST 19, 2019

These requirements include fluency in: Analytical models. Data science skills. Technology – i.e. data mining, predictive analytics, and statistics. Best practices for exploring collected data. Data is crucial to the success of business analytics. Simulations.

Analytics 54

Analytics Machine Learning Data Science Data-driven 54