Smart Data Collective

MARCH 22, 2019

Big data is helping online entrepreneurs address some of the most pressing obstacles that they have faced for years. However, there are less obvious applications of big data that are equally important. However, there are less obvious applications of big data that are equally important.

Big Data 44

Big Data Deep Learning Machine Learning Marketing 44

datapine

MAY 14, 2019

“Big data is at the foundation of all the megatrends that are happening.” – Chris Lynch, big data expert. We live in a world saturated with data. Zettabytes of data are floating around in our digital universe, just waiting to be analyzed and explored, according to AnalyticsWeek. At present, around 2.7

Data Science 350

Data Science Machine Learning Data-driven Big Data 350

AWS Big Data

APRIL 17, 2024

The AaaS model accelerates data-driven decision-making through advanced analytics, enabling organizations to swiftly adapt to changing market trends and make informed strategic choices. Data processing jobs enrich the data in Amazon Redshift.

Data Warehouse 95

Data Warehouse Analytics Cost-Benefit Modeling 95

Cloudera

FEBRUARY 12, 2018

Federal Tech Talk looks at the world of high technology in the federal government and, as its host, John speaks the language of federal CISOs, CIOs, and CTOs. John noted that he likely has some Federal and Department of Defense listeners that could benefit from this approach to data.

IoT 40

IoT Big Data Cost-Benefit Manufacturing 40

datapine

MARCH 8, 2021

We’ve delved into the impact of big data in healthcare. Healthcare reports can help reduce errors, enhance the acquisition of vital patient data, reduce needless expenditure, and improve healthcare processes exponentially. This is a testament to the essential role of predictive analytics in the sector.

Reporting 198

Reporting KPI Management Cost-Benefit 198

Smart Data Collective

NOVEMBER 18, 2020

The Bureau of Labor Statistics estimates that the number of data scientists will increase from 32,700 to 37,700 between 2019 and 2029. Unfortunately, despite the growing interest in big data careers, many people don’t know how to pursue them properly. Where to Use Data Science? Where to Use Data Mining?

Data mining 142

Data mining Data Science Informatics Statistics 142

Smart Data Collective

MARCH 30, 2022

Companies that know how to leverage analytics will have the following advantages: They will be able to use predictive analytics tools to anticipate future demand of products and services. They can use data on online user engagement to optimize their business models. How many plug-ins will I need?

Analytics 114

Analytics Cost-Benefit Testing Dashboards 114

IBM Big Data Hub

JANUARY 12, 2024

The advantages of AI are numerous and impactful, from predictive analytics that refine strategies, to natural language processing that fuels customer interactions and assists users in their daily tasks, to assistive tools that enhance accessibility, communication and independence for people with disabilities.

Data-driven 104

Data-driven Interactive Data Processing Technology 104

IBM Big Data Hub

JULY 6, 2023

While data science and machine learning are related, they are very different fields. In a nutshell, data science brings structure to big data while machine learning focuses on learning from the data itself. What is data science? This post will dive deeper into the nuances of each field.

Machine Learning 60

Machine Learning Data Science Statistics Deep Learning 60

datapine

MARCH 15, 2019

At present, 53% of businesses are in the process of adopting big data analytics as part of their core business strategy – and it’s no coincidence. To win on today’s information-rich digital battlefield, turning insight into action is a must, and online data analysis tools are the very vessel for doing so.

Technology 143

Technology Cost-Benefit KPI Dashboards 143

datapine

NOVEMBER 5, 2019

In fact, according to eMarketer, 40% of executives surveyed in a study focused on data-driven marketing, expect to “significantly increase” revenue. Not to worry – we’ll not only explain the link between big data and business performance but also explore real-life performance dashboard examples and explain why you need one (or several).

Dashboards 220

Dashboards Cost-Benefit Sales Metrics 220

IBM Big Data Hub

FEBRUARY 12, 2024

They can choose their tailored experience, whether they’re a guest, host, experience host, or travel admin. Trend 5: Personalized experiences using data and generative AI As stated, emotional connection with customers is a foundational element of customer experience.

Consulting 77

Consulting Strategy Interactive Data Processing 77

datapine

MARCH 31, 2022

On the flip side, if you enjoy diving deep into the technical side of things, with the right mix of skills for business intelligence you can work a host of incredibly interesting problems that will keep you in flow for hours on end. There’s A Wealth Of Choice. SAS BI: SAS can be considered the “mother” of all BI tools.

Business Intelligence 239

Business Intelligence Statistics Visualization Data-driven 239

datapine

MAY 9, 2019

“Without big data, you are blind and deaf and in the middle of a freeway.” – Geoffrey Moore, management consultant, and author. In a world dominated by data, it’s more important than ever for businesses to understand how to extract every drop of value from the raft of digital insights available at their fingertips.

Business Intelligence 270

Business Intelligence Dashboards Data Warehouse Sales 270

datapine

JUNE 5, 2019

Now that you understand a clearly defined dashboard meaning, let’s move onto one of the primary functions of data dashboards: answering critical business questions. As mentioned earlier, a data dashboard has the ability to answer a host of business-related questions based on your specific goals, aims, and strategies.

Dashboards 316

Dashboards KPI Sales Visualization 316

IBM Big Data Hub

FEBRUARY 2, 2023

In today’s world, data warehouses are a critical component of any organization’s technology ecosystem. They provide the backbone for a range of use cases such as business intelligence (BI) reporting, dashboarding, and machine-learning (ML)-based predictive analytics, that enable faster decision making and insights.

Data Warehouse 57

Data Warehouse Cost-Benefit Unstructured Data Data Architecture 57

Sisense

OCTOBER 6, 2020

Despite its many uses, quantitative data presents two main challenges for a data-driven organization. First, data isn’t created in a uniform, consistent format. It’s generated by a host of sources in different ways. Better together: Working with qualitative data and quantitative data.

Statistics 98

Statistics Unstructured Data Data-driven Visualization 98

Cloudera

SEPTEMBER 12, 2018

Voya Financial prevented millions of dollars of fraudulent transactions by deploying predictive analytic capabilities on Cloudera. AbbVie, one of the world’s largest global research and development pharmaceutical companies, established a big data platform to provide end-to-end operations visibility, agility, and responsiveness.

Machine Learning 44

Machine Learning Big Data Data Science Data Warehouse 44

IBM Big Data Hub

NOVEMBER 30, 2023

Predictive analytics for talent management: Utilize predictive analytics to identify potential high-performing candidates, forecast employee retention rates and develop talent management strategies. Analyze the cost and benefits associated with each. This technology can streamline the employee referral process.

Strategy 69

Strategy Cost-Benefit Consulting Data-driven 69

Howard Dresner

JANUARY 20, 2014

Examples: user empowerment and the speed of getting answers (not just reports) • There is a growing interest in data that tells stories; keep up with advances in storyboarding to package visual analytics that might fill some gaps in communication and collaboration • Monitor rumblings about trend to shift data to secure storage outside the U.S.

Business Intelligence 56

Business Intelligence Software Data Processing Marketing 56

Smart Data Collective

AUGUST 14, 2019

The healthcare sector is heavily dependent on advances in big data. Healthcare organizations are using predictive analytics , machine learning, and AI to improve patient outcomes, yield more accurate diagnoses and find more cost-effective operating models. Big Data is Driving Massive Changes in Healthcare.

Big Data 77

Big Data Data Analytics Analytics Internet of Things 77

Howard Dresner

DECEMBER 14, 2013

Some tweeted that the tangling of BI into the Big Data space causes confusion, it’s a mistake to try to get end users to adopt “analyst tools” and we must stop force-feeding generic analysis tools to end users even if they are “simple” to use. He hosts a weekly tweet chat (#BIWisdom) on Twitter each Friday.

Business Intelligence 40

Business Intelligence Interactive Data Processing Predictive Analytics 40

IBM Big Data Hub

JULY 24, 2023

It aims to understand what’s happening within a system by studying external data. ITOA uses data mining and big data principles to analyze noisy data sets within the system and creates a framework that uses those meaningful insights to make the entire system run smoother.

IT 59

IT Analytics Cost-Benefit Predictive Analytics 59

Smart Data Collective

MARCH 12, 2020

Professors at this school have said that big data is becoming more integral to the fire protection field. Big Data Finds New Applications in Fire Safety. Data analytics is a pretty hot topic right now. In fact, the phrase itself is one of the leading catchphrases of big business.

Data Analytics 92

Data Analytics Analytics Big Data Key Performance Indicator 92

datapine

MAY 16, 2019

Exclusive Bonus Content: Ready to use data analytics in your restaurant? Get our free bite-sized summary for increasing your profits through data! Data offers the power to gain an objective, accurate, and comprehensive view of your restaurant’s daily functions. What Are Restaurant Analytics? Forecasting trends.

Analytics 163

Analytics Predictive Analytics Advertising Dashboards 163

AWS Big Data

OCTOBER 18, 2023

With Amazon Redshift, you can build lake house architectures and perform any kind of analytics, such as interactive analytics , operational analytics , big data processing , visual data preparation , predictive analytics, machine learning , and more. Select Redshift data agent , then choose OK.

Analytics 96

Analytics Data Warehouse Testing Dashboards 96

Jet Global

MARCH 22, 2023

Market Drivers and Current Trends Organizations are increasing focus on the potential value within big data, seeking to better understand their customers and improve their products. According to Forbes , almost three-quarters of entrepreneurs are already using big data to try and pull ahead of the competition.

Analytics 52

Analytics Cost-Benefit Dashboards Visualization 52

IBM Big Data Hub

SEPTEMBER 28, 2023

New Relic also uses different agents for different technologies and requires multiple agents per host. There’s no guessing which agent(s) need to be installed on which hosts. New Relic users must change the configuration files and update the code, depending on the technology being monitored.

Metrics 105

Metrics Data Processing Machine Learning Dashboards 105

datapine

JULY 1, 2020

Moreover, a host of ad hoc analysis or reporting platforms boast integrated online data visualization tools to help enhance the data exploration process. Without big data, you are blind and deaf and in the middle of a freeway.” – Geoffrey Moore. The Benefits Of Ad Hoc Reporting And Analysis. ” – John Dryden.

Reporting 260

Reporting Cost-Benefit Dashboards Visualization 260

datapine

APRIL 22, 2020

“Without big data analytics, companies are blind and deaf, wandering out onto the web like deer on a freeway.” – Geoffrey Moore. And, as a business, if you use your data wisely, you stand to reap great rewards. But, with so much data and such little time, where do you even begin? We live in the age of information.

Dashboards 189

Dashboards Key Performance Indicator Visualization Cost-Benefit 189

AWS Big Data

NOVEMBER 8, 2023

They recently needed to do a monthly load of 140 TB of uncompressed healthcare claims data in under 24 hours after receiving it to provide analysts and data scientists with up-to-date information on a patient’s healthcare journey. This data volume is expected to increase monthly and is fully refreshed each month.

Data Lake 75

Data Lake Data Warehouse Cost-Benefit Optimization 75

IBM Big Data Hub

JULY 11, 2023

They provide the backbone for a range of use cases such as business intelligence (BI) reporting, dashboarding, and machine-learning (ML)-based predictive analytics that enable faster decision making and insights. In the first set of tests, we ran our Big Data Insight (BDI) concurrent query workload on a 10TB database with 16 clients.

Data Warehouse 51

Data Warehouse Testing Sales Dashboards 51

AWS Big Data

MARCH 26, 2024

Amazon Redshift offers real-time insights and predictive analytics capabilities for analyzing data from terabytes to petabytes. With Amazon Redshift ML , you can embed ML on top of the data stored in the data warehouse with minimum development overhead.

Data Strategy 68

Data Strategy Strategy Data Warehouse Prescriptive Analytics 68

Cloudera

AUGUST 31, 2020

Oalva brought years of big data, data warehouse and Hadoop expertise to the table. Because of the limits of the legacy data warehouse’s proprietary data format, data scientists had to extract data from it before they could run any AI/ML algorith ms.

Slice and Dice 62

Slice and Dice Management Data Warehouse Analytics 62

Domino Data Lab

JUNE 2, 2019

ans from Nick Elprin, CEO and co-founder of Domino Data Lab, about the importance of model-driven business: “Being data-driven is like navigating by watching the rearview mirror. If your business is using big data and putting dashboards in front of analysts, you’re missing the point.”. I consider that a healthy trend.

Data-driven 110

Data-driven Data Science Machine Learning Modeling 110

datapine

NOVEMBER 19, 2019

An exemplary application of this trend would be Artificial Neural Networks (ANN) – the predictive analytics method of analyzing data. Some more examples of AI applications can be found in various domains: in 2020 we will experience more AI in combination with big data in healthcare.

Technology 279

Technology Internet of Things IT IoT 279

datapine

JANUARY 21, 2020

Big data plays a crucial role in online data analysis , business information, and intelligent reporting. Companies must adjust to the ambiguity of data, and act accordingly. There are countless KPI examples to select and adopt in a strategy, but only the right tracking and analysis can bring profitable results.

Business Intelligence 259

Business Intelligence Reporting Cost-Benefit Dashboards 259