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 81

Big Data Uncertainty Risk Data mining 81

Rocket-Powered Data Science

MARCH 19, 2021

Focus on specific data types: e.g., time series, video, audio, images, streaming text (such as social media or online chat channels), network logs, supply chain tracking (e.g., RFID), inventory monitoring (SKU / UPC tracking).

Internet of Things 259

Internet of Things Analytics IoT Prescriptive Analytics 259

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

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 84

IoT Cost-Benefit Data-driven Data Strategy 84

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 77

Data Science Data Analytics Prescriptive Analytics Analytics 77

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

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 135

Big Data Data mining Data-driven Predictive Analytics 135

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 90

Data-driven Machine Learning Interactive Predictive Analytics 90

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

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 111

Big Data Management Finance Data-driven 111

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 121

Data Architecture Data Warehouse Statistics Visualization 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 78

Big Data Sales Marketing Predictive Analytics 78

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 Forecasting Data-driven 75

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 86

Big Data Machine Learning Data-driven Manufacturing 86

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

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 76

Insurance Strategy Modeling Data-driven 76

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

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 73

Big Data Modeling ROI Predictive Analytics 73

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 112

Data Analytics Analytics Cost-Benefit Big Data 112

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 78

Big Data Optimization Insurance Predictive Analytics 78

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

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 97

Unstructured Data Data Lake Prescriptive Analytics Digital Transformation 97

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 109

Sales Marketing Data-driven Interactive 109

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 139

Data Lake Data Warehouse Unstructured Data Business Intelligence 139

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

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 131

Analytics Scorecard Strategy Testing 131

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 77

Big Data Marketing Sales Strategy 77

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

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

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

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

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

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