Rocket-Powered Data Science

MARCH 19, 2021

The determination of winners and losers in the data analytics space is a much more dynamic proposition than it ever has been. One CIO said it this way , “If CIOs invested in machine learning three years ago, they would have wasted their money. But if they wait another three years, they will never catch up.” trillion by 2030.

Internet of Things 259

Internet of Things Analytics IoT Prescriptive Analytics 259

IBM Big Data Hub

SEPTEMBER 19, 2023

Overview: Data science vs data analytics Think of data science as the overarching umbrella that covers a wide range of tasks performed to find patterns in large datasets, structure data for use, train machine learning models and develop artificial intelligence (AI) applications.

Data Science 87

Data Science Data Analytics Prescriptive Analytics Analytics 87

Smarten

SEPTEMBER 14, 2018

Just Simple, Assisted Predictive Modeling for Every Business User! No matter the market or type of business, there is no room in today’s business landscape for guesswork. No Guesswork! And, with Assisted Predictive Modeling , you can make these tasks even easier.

Predictive Modeling 40

Predictive Modeling Business Analytics Modeling Analytics 40

CIO Business Intelligence

JUNE 7, 2022

More specifically: Descriptive analytics uses historical and current data from multiple sources to describe the present state, or a specified historical state, by identifying trends and patterns. In business analytics, this is the purview of business intelligence (BI). Data analytics methods and techniques.

Data Analytics 135

Data Analytics Diagnostic Analytics Management Analytics 135

Cloudera

FEBRUARY 8, 2021

This revolution is just beginning to accelerate – in fact, according to a recent Applied Market Research study, the global connected car market was valued at $63.03 billion in 2019, and is projected to reach $225.16 billion by 2027, registering a CAGR of 17.1% from 2020 to 2027. The vehicle-to-cloud solution driving advanced use cases.

Machine Learning 108

Machine Learning Manufacturing Unstructured Data Modeling 108

CIO Business Intelligence

MARCH 30, 2022

For organizations looking to move beyond stale reports, decision intelligence holds promise, giving them the ability to process large amounts of data with a sophisticated mix of tools such as artificial intelligence and machine learning to transform data dashboards and business analytics into more comprehensive decision support platforms.

Machine Learning 144

Machine Learning Testing Risk Data-driven 144

Smart Data Collective

MAY 8, 2022

By combining big data and AI together, companies can improve their business performance in the following ways: Analyzing consumer behavior Customer segmentation automation Personalizing marketing campaigns Customer retention and acquisition Intelligent decision support systems powered by AI and big data. Business analytics.

Big Data 106

Big Data Data Analytics Analytics Cost-Benefit 106

Smart Data Collective

AUGUST 10, 2021

In today’s market, it’s hard to thrive or even just survive without collecting data. Here’s more on why data is so important for companies and the top 5 analytics tools they’re using this year to stay ahead of the curve and their competition. What Is Data-Driven Marketing? Technology Ushers in the Age of Personalized Marketing.

Analytics 129

Analytics Data-driven Advertising Data Science 129

Cloudera

OCTOBER 4, 2023

We can get to faster root-cause analysis and become proactive instead of reactive to changes in markets, business operations, and customer behavior. We can reduce costs, eliminate unnecessary work, improve customer satisfaction and experience, and reduce churn.

Data Warehouse 87

Data Warehouse Experimentation Cost-Benefit Dashboards 87

Smart Data Collective

MAY 29, 2023

As a result of the benefits of business analytics , the demand for Data analysts is growing quickly. As the world and its technologies changes, so will the needs as dictated by the demands of businesses and their adoption of new technologies and techniques.

Data Collection 77

Data Collection Big Data Statistics Software 77

datapine

AUGUST 14, 2019

Companies surely need data scientists to help them empower their analytics processes, build a numbers-based strategy that will boost their bottom line, and ensure that enormous amounts of data are translated into actionable insights. offers many statistics and machine learning abilities. Source: RStudio. Source: mathworks.com.

Data Science 214

Data Science Statistics Business Intelligence Visualization 214

FineReport

MARCH 24, 2024

They collaborate with cross-functional teams to meet organizational objectives and work across diverse sectors, including business intelligence, finance, marketing, and consulting. Excel: Widely used for preliminary data analysis and modeling, featuring advanced business analytics options.

Statistics 52

Statistics Data mining Visualization Reporting 52

Sisense

AUGUST 19, 2020

Disrupting Markets is your window into how companies have digitally transformed their businesses, shaken up their industries, and even changed the world through the use of data and analytics. The use of big data analytics and cloud computing has spiked phenomenally during the last decade.

Big Data 52

Big Data Machine Learning Digital Transformation Marketing 52

CIO Business Intelligence

OCTOBER 6, 2022

Artificial Intelligence (AI) is fast becoming the cornerstone of business analytics, allowing companies to generate value from the ever-growing datasets generated by today’s business processes. billion market in 2024. Optimising HPC and AI Workloads.

Internet of Things 98

Internet of Things Manufacturing Digital Transformation Cost-Benefit 98

Smart Data Collective

MARCH 25, 2021

Every day, new data analytic and BI software are making their way into the market and offering new and varied ways to work with data and derive useful information and actionable data insights that can help data analysts to analyze business data and identify the growing trends in the market through their data analysis.

Data-driven 125

Data-driven Analytics Business Intelligence Dashboards 125

Cloudera

NOVEMBER 16, 2020

is relatively low compared to other fast-growing markets such as APAC. The sizable impact from fraud on the insurance market is increasingly being addressed by fraud detection, prevention, and mitigation technology tools and services, creating a substantial fraud detection market. Yet, fraud in the U.S. million in 2019 to $7.9

Insurance 100

Insurance ROI Marketing Machine Learning 100

Smart Data Collective

FEBRUARY 4, 2021

With increasing uncertainty and evolving consumer demand, running a business seems like an enormous challenge. While some owners are leveraging AI-enabled systems to predict demand, others try to increase their market share. Find Tax Deductibles with Machine Learning. Be Smart about Debt!

Data Analytics 141

Data Analytics Analytics Cost-Benefit Big Data 141

Smart Data Collective

AUGUST 7, 2019

The main goal of a customer data platform is to make sense of all customer information, create a unified profile and allow marketers to work with the results efficiently. You can learn more about a customer data platform by reading this overview on HubSpot. Another data analysis tool that many businesses use today is CRM analytics.

Data Analytics 100

Data Analytics Analytics Big Data Data Lake 100

FineReport

APRIL 9, 2024

Benefits of Utilizing BI Tools The utilization of data analysis tools such as business intelligence software offers numerous benefits for organizations seeking to gain a competitive edge in today’s dynamic market landscape.

Business Intelligence 52

Business Intelligence Software Data-driven Predictive Modeling 52

FineReport

MAY 23, 2021

Price: For individuals, $70 USD/user/month, for business, the price depends on the deployment option and the needs of organizations. Sisense is a leading agile business analytics platform. Key Features: Self-service analytics, Report query, Easy-to-use, Data Import/Export, Visual Analysis, Online report maker.

Software 98

Software Reporting Dashboards Visualization 98

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.

Data Analytics 83

Data Analytics Analytics Data Collection Statistics 83

Cloudera

NOVEMBER 24, 2020

As the volume of products within OVO’s ecosystem increases, the ability to ensure marketing effectiveness is critical to avoid an unnecessary waste of time and resources. times more effective than traditional mass marketing. In its first six months of operation, the sales funnel uplift achieved using OVO UnCover has proven to be 7.9

Insurance 73

Insurance Marketing Risk Finance 73

Cloudera

MAY 27, 2021

This could be addressed with an explanation of how a technology works — how, for instance, machine learning (ML) engines get better at their tasks by being fed gobs of data. Sometimes, even if everything is done to deliver ethical outcomes, the machine may still make predictions and assumptions that don’t abide by these rules.

Machine Learning 117

Machine Learning Big Data Consulting Technology 117

Domino Data Lab

JULY 22, 2019

why data governance, in the context of machine learning is no longer a “dry topic” and how the WSJ’s “global reckoning on data governance” is potentially connected to “premiums on leveraging data science teams for novel business cases”. But for most enterprise, using machine learning…not really.

Data Science 109

Data Science Machine Learning Data Governance Modeling 109

Birst BI

JANUARY 16, 2018

If you’re a business intelligence (BI) and analytics application user, it’s likely that “data-driven insight to the masses” will soon be top-of-mind. Machine learning will transform BI and analytics. Any business leader already knows that AI is a large field.

Data-driven 70

Data-driven Analytics Dashboards Machine Learning 70

Cloudera

OCTOBER 28, 2020

As these new sources cause data volumes to multiply, advanced analytics and machine learning are the only effective ways to analyze the vast quantities of information and help realize insight. Banks are driving initiatives forward in areas of targeted marketing, customer retention and proactive customer care.

Unstructured Data 71

Unstructured Data Data-driven Machine Learning Digital Transformation 71

datapine

JANUARY 6, 2022

Based on that amount of data alone, it is clear the calling card of any successful enterprise in today’s global world will be the ability to analyze complex data, produce actionable insights and adapt to new market needs… all at the speed of thought. Business dashboards are the digital age tools for big data.

Visualization 246

Visualization Dashboards Cost-Benefit Measurement 246

Rocket-Powered Data Science

OCTOBER 16, 2020

Some market estimates anticipate that AI will contribute 16 trillion dollars to the global GDP (gross domestic product) by 2030. Artificial intelligence (AI) has become one of the most significant emerging technologies of the past few years.

Strategy 198

Strategy Insurance Snapshot Digital Transformation 198

Sisense

JULY 6, 2020

Sisense recently surveyed 500 companies to understand how they leverage data and analytics usage and the impact on future plans; the results reinforce how critical analytics are to businesses during times of crisis. Analytics are essential in a crisis. This can be disorienting but also empowering.

Data-driven 81

Data-driven Uncertainty Reporting Analytics 81

Smarten

DECEMBER 3, 2023

So, what does all this mean to your business? Why is augmented analytics an important factor in your success? Now that we have discussed the importance of considering these tools to improve your company results and support your business users, let’s take a closer look at the real benefits of augmented analytics.

Analytics 40

Analytics Cost-Benefit Data Quality Consulting 40

Smart Data Collective

APRIL 3, 2022

They often end up focusing entirely on using big data to optimize their financial and marketing strategies. A survey platform that incorporates both AI and machine learning. One of the reasons that data strategies often turn out to be ineffective is that companies define them too narrowly.

Data Strategy 97

Data Strategy Strategy Data-driven Big Data 97

Smarten

JUNE 17, 2022

Contact the Smarten team for more information on Smarten Augmented Analytics solution. The Smarten approach to business intelligence and business analytics focuses on the business user and provides Advanced Data Discovery so users can perform early prototyping and test hypotheses without the skills of a data scientist.

Analytics 67

Analytics IT Business Intelligence Predictive Modeling 67

Sisense

JULY 29, 2020

The right data and analytics can help you spot trends and patterns that show what works and what doesn’t, and now, with advanced techniques like predictive analytics , machine learning , and sentiment analysis , they can even anticipate what changes are needed to succeed in the future. Change is usually gradual.

Analytics 95

Analytics Digital Transformation Data-driven Sales 95

Sisense

FEBRUARY 1, 2021

This distinction can sometimes be blurred by the various marketing efforts of software apps. We will then see how business intelligence within PLM is leveraging AI analytics toward new levels of insight and productivity. It also helps reduce development time and costs, speeding up time to market.

Management 52

Management Analytics Manufacturing Cost-Benefit 52

Cloudera

JANUARY 14, 2021

The retailers and brands have integrated more tech (data, analytics, and devices) into every step of the consumer purchase path that is revealing an entirely new retail experiences – starting with production, replenishment and continuing into merchandising, marketing and on to fulfillment and returns— that has an opportunity (and challenge) to (..)

Cost-Benefit 71

Cost-Benefit Digital Transformation Sales IoT 71

datapine

MARCH 25, 2022

We already saw earlier this year the benefits of Business Intelligence and Business Analytics. In an article tackling BI and Business Analytics, Better Buys asked seven different BI pros what their thoughts were on the difference between business intelligence and analytics. Confused yet?

Business Intelligence 264

Business Intelligence Analytics Statistics Dashboards 264

Cloudera

DECEMBER 21, 2020

A Cloudera Machine Learning Workspace exists . Jon quickly shares the updated dashboard with the Marketing group by moving it to their Data Visualization workspace through a simple click of the MOVE button. The SDX layer is configured and the users have appropriate access. Company data exists in the data lake.

Dashboards 97

Dashboards Visualization Data Warehouse Data Lake 97