Smart Data Collective

FEBRUARY 9, 2022

Analytics technology has become an invaluable aspect of modern financial trading. A growing number of traders are using increasingly sophisticated data mining and machine learning tools to develop a competitive edge. Unfortunately mastering the nuances of financial analytics tools isn’t easy.

Visualization 145

Visualization Optimization Analytics Testing 145

datapine

DECEMBER 4, 2019

Predictive & Prescriptive Analytics. Predictive Analytics: What could happen? We mentioned predictive analytics in our business intelligence trends article and we will stress it here as well since we find it extremely important for 2020. The commercial use of predictive analytics is a relatively new thing.

Business Intelligence 212

Business Intelligence Prescriptive Analytics Analytics Predictive Analytics 212

O'Reilly on Data

NOVEMBER 28, 2023

Almost everybody’s played with ChatGPT, Stable Diffusion, GitHub Copilot, or Midjourney. A few have even tried out Bard or Claude, or run LLaMA 1 on their laptop. And everyone has opinions about how these language models and art generation programs are going to change the nature of work, usher in the singularity, or perhaps even doom the human race.

Enterprise 342

Enterprise Testing Modeling Reporting 342

Smart Data Collective

NOVEMBER 11, 2021

However, data analytics technology can be just as useful with regards to creating a successful B2B business. One of the benefits of data analytics in B2B marketing is with using digital signage. Data Analytics Helps Companies Create More Effective Digital Signage Marketing Strategies. Are you looking to provide wayfinding?

B2B 132

B2B Data mining Big Data Marketing 132

Smart Data Collective

DECEMBER 19, 2021

Elaborately, the steps and methods to organize and reshape the data to execute it suitably for use or mining, the entire process, in short, known as Data Preprocessing. However, data comes in different sizes and formats (text, images, audio, video, etc.). Data Preprocessing is a Requirement. Python as a Data Processing Technology.

Optimization 141

Optimization Machine Learning Data mining Statistics 141

CIO Business Intelligence

JUNE 7, 2022

What is data analytics? Data analytics is a discipline focused on extracting insights from data. The chief aim of data analytics is to apply statistical analysis and technologies on data to find trends and solve problems. What are the four types of data analytics?

Data Analytics 135

Data Analytics Diagnostic Analytics Management Analytics 135

Smart Data Collective

APRIL 19, 2022

Data mining technology has become very important for modern businesses. Companies use data mining technology for a variety of purposes. These factors are why companies will spend over $12 billion on data analytics for marketing solutions by 2027. Excel is one of the tools that can help companies use mined revenue data.

Sales 122

Sales Reporting Data mining Forecasting 122

BizAcuity

OCTOBER 21, 2019

Text analytics helps to draw the insights from the unstructured data. . The key factor for the prosperity of the Hotel is service, online reviews & experience, using the information technology organizations are capturing the data to develop the latest techniques using data analytics to survive the competition.

Analytics 73

Analytics Unstructured Data Data mining Structured Data 73

Smart Data Collective

JANUARY 10, 2023

You must actively promote your listing with relevant keywords and descriptions so people can find you when searching for specific services in their area. We talked about the benefits of using data analytics to improve the SEO rankings of product pages. You can use data analytics to improve the following factors of your location page.

Data-driven 126

Data-driven Data mining Big Data Optimization 126

datapine

MARCH 31, 2022

Moreover, companies that use BI analytics are five times more likely to make swifter, more informed decisions. Does the idea of discovering patterns in large volumes of information make you want to roll up your sleeves and get to work? Do you find computer science and its applications within the business world more than interesting?

Business Intelligence 239

Business Intelligence Statistics Visualization Data-driven 239

AWS Big Data

NOVEMBER 15, 2023

You can use its built-in transformations, recipes, as well as integrations with the AWS Glue Data Catalog and Amazon Simple Storage Service (Amazon S3) to preprocess the data in your landing zone, clean it up, and send it downstream for analytical processing. DataBrew is an excellent tool for data quality and preprocessing.

Metadata 114

Metadata Sales Data Lake Big Data 114

datapine

SEPTEMBER 27, 2022

We have already given you our top data visualization books , top business intelligence books , and best data analytics books. Business leaders, developers, data heads, and tech enthusiasts – it’s time to make some room on your business intelligence bookshelf because once again, datapine has new books for you to add. Feeling inspired?

Business Intelligence 292

Business Intelligence Data Warehouse Data Processing Data mining 292

Smart Data Collective

OCTOBER 16, 2023

Companies want to use Big Data to improve customer service, increase profit, cut expenses, and upgrade existing processes. A fresh photo, a text message, or a search query contributes to the growing volume of big data. For example, predictive analytics detect unlawful trading and fraudulent transactions in the banking industry.

Big Data 124

Big Data IoT Cost-Benefit Advertising 124

CIO Business Intelligence

MAY 12, 2022

But sometimes can often be more than enough if the prediction can help your enterprise plan better, spend more wisely, and deliver more prescient service for your customers. What are predictive analytics tools? Predictive analytics tools blend artificial intelligence and business reporting. Alteryx Analytics Process Automation.

Predictive Analytics 137

Predictive Analytics Analytics Statistics Machine Learning 137

Smart Data Collective

SEPTEMBER 15, 2021

Some groups are turning to Hadoop-based data mining gear as a result. Creative users who have lower-end needs could even store their lists as a simple flat file , which could be manipulated with any modern text editor. Ironically, these features make it ideal for those who want to run complicated marketing campaigns.

Marketing 129

Marketing Predictive Analytics Data mining Management 129

CIO Business Intelligence

JUNE 14, 2023

Data and big data analytics are the lifeblood of any successful business. Getting the technology right can be challenging but building the right team with the right skills to undertake data initiatives can be even harder — a challenge reflected in the rising demand for big data and analytics skills and certifications.

Big Data 126

Big Data Data Analytics Analytics Predictive Modeling 126

CIO Business Intelligence

NOVEMBER 28, 2023

For many enterprises, unstructured data, in the form of text, video, audio, social media, imaging, sensor, and other formats, remains elusive and untapped. Unstructured data resources can be extremely valuable for gaining business insights and solving problems. The key is figuring out how to create that value.

Unstructured Data 130

Unstructured Data Data-driven Visualization Data Quality 130

CIO Business Intelligence

APRIL 25, 2022

Offerings include: a part-time and a full-time data science bootcamp, an AI engineering bootcamp, a part-time BI and data analytics bootcamp, and a data engineering bootcamp. The data science and BI and data analytics bootcamps are for intermediate learners, while the AI engineering and data engineering bootcamps are for advanced learners.

Data Science 145

Data Science Machine Learning Deep Learning Statistics 145

CIO Business Intelligence

FEBRUARY 3, 2023

These systems can manage the various APIs and services while also helping the data flow with extra bots. The boundaries between RPA for the desktop and maintaining the databases and services is blurring more and more. Even the modern workplace can be boring and repetitive. What is RPA? Still, RPA isn’t automatic.

Data-driven 145

Data-driven Interactive Enterprise Statistics 145

Smart Data Collective

MAY 11, 2023

Therefore, it should be no surprise that the market for data analytics is growing at a rate of nearly 23% a year after being worth $744 billion in 2020. Predictive analytics and other big data tools help distinguish between legitimate and fraudulent transactions. Big data can help companies in the financial sector in many ways.

Data mining 116

Data mining Big Data Sales Cost-Benefit 116

AWS Big Data

DECEMBER 18, 2023

Amazon Redshift powers data-driven decisions for tens of thousands of customers every day with a fully managed, AI-powered cloud data warehouse, delivering the best price-performance for your analytics workloads. Learn more about the AWS zero-ETL future with newly launched AWS databases integrations with Amazon Redshift.

Data Warehouse 111

Data Warehouse Machine Learning Data-driven Data Lake 111

IBM Big Data Hub

AUGUST 28, 2023

One of the best ways to take advantage of social media data is to implement text-mining programs that streamline the process. What is text mining? Text analysis takes it a step farther by focusing on pattern identification across large datasets, producing more quantitative results. How does text mining work?

Data mining 53

Data mining Machine Learning Deep Learning Marketing 53

Sisense

MAY 11, 2021

You can’t talk about data analytics without talking about data modeling. These two functions are nearly inseparable as we move further into a world of analytics that blends sources of varying volume, variety, veracity, and velocity. But this was only the tip of the analytics iceberg. Discover why. What is data modeling?

Modeling 84

Modeling Big Data IoT Data Warehouse 84

CIO Business Intelligence

JANUARY 19, 2024

Whether you’re looking to earn a certification from an accredited university, gain experience as a new grad, hone vendor-specific skills, or demonstrate your knowledge of data analytics, the following certifications (presented in alphabetical order) will work for you. Check out our list of top big data and data analytics certifications.)

Data Science 126

Data Science Machine Learning Predictive Modeling Forecasting 126

AWS Big Data

MAY 16, 2024

From GPS-enabled smartphones to remote sensing satellites, the sources of geospatial information are multiplying, generating an immense gold mine of location-based insights. However, visualizing and analyzing large-scale geospatial data presents a formidable challenge due to the sheer volume and intricacy of information.

Data Warehouse 119

Data Warehouse Visualization Cost-Benefit Data-driven 119

Occam's Razor

MARCH 19, 2018

Some of the fixes to solve for simplicity could be to use fewer sprinkles, a simpler header – graphics and text –, and we can be very selective about what’s on he slide. As you look at the slide, I’m sure you’ll come up with other ways in which we can liberate the white space for the tyranny of text/colors. On a slide.

Visualization 132

Visualization B2B Dashboards Marketing 132

datapine

MARCH 27, 2019

In the digital age, knowing your customers on a more personal level is the most effective way of developing marketing communications, customer service reports or initiatives that offer genuine value and yield real results. This consumer-centric information, if well-managed, can form the building block of a business’s long-term success.

Management 129

Management Data-driven Dashboards Visualization 129

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 Predictive Analytics Data Processing 56

BizAcuity

OCTOBER 21, 2019

Text analytics helps to draw the insights from the unstructured data. The key factor for the prosperity of the Hotel is service, online reviews & experience, using the information technology organizations are capturing the data to develop the latest techniques using data analytics to survive the competition.

Analytics 40

Analytics Unstructured Data Data mining Structured Data 40

Sisense

MARCH 14, 2021

Before we dive into the topics of big data as a service and analytics applied to same, let’s quickly clarify data analytics using an oft-used application of analytics: Visualization! And one of the best ways to implement those tools is to embed third party plugins. Big data challenges and solutions.

Big Data 52

Big Data IoT Data Warehouse Data-driven 52

Smart Data Collective

APRIL 2, 2021

Data Analytics Shows Best White Label Products for Ecommerce in 2021. There are a lot of data analytics tools like Google Trends and data mining tools that use market data from sites like IBIS to figure out which products are in most demand. Big data has made it easier to spot them. Source: Statista. 1) Mobile covers.

Big Data 94

Big Data Marketing Sales Data mining 94

Ontotext

MAY 22, 2023

And getting a free text summary of the results, instead of just a table. Think of enrichment of graphs using public LLM services via relation extraction from text. Click To Tweet How will LLM impact text analysis and content analytics? Atanas Kiryakov: Knowledge graphs will prosper in the ChatGPT era.

Management 59

Management Unstructured Data Metadata Cost-Benefit 59

datapine

JULY 24, 2019

While it isn’t possible to apply this statement in a universal sense (and in fact, it’s somewhat cliché), the notion does serve to highlight an important truth regarding today’s digital world: consumer values are continually evolving. Data has never been more readily accessible. An online BI dashboard. How can you create one?

Dashboards 148

Dashboards Business Intelligence Visualization KPI 148

IBM Big Data Hub

JULY 17, 2023

These models have been trained on IBM curated datasets that have been mined to remove hateful, abusing and profane text (HAP). IBM software products are embedding watsonx capabilities across digital labor, IT automation, security, sustainability, and application modernization to help unlock new levels of business value for clients.

Machine Learning 62

Machine Learning Data Warehouse Modeling Cost-Benefit 62

Alation

JULY 13, 2021

However, collection of new data types is increasing, as experts have noticed these same organizations are now also managing internal text data, machine data, and semi-structured data at a greater percent than ever before. runs Advanced Analytics at TDWI. She has written hundreds of articles on data mining and information technology.

Strategy 52

Strategy Data mining Structured Data Data Governance 52

Sisense

APRIL 26, 2020

It can work easily with most standard analytical models. We live in a world of data: there’s more of it than ever before, in a ceaselessly expanding array of forms and locations. Dealing with Data is your window into the ways Data Teams are tackling the challenges of this new world to help their companies and their customers thrive.

Unstructured Data 52

Unstructured Data Data Warehouse Structured Data Data mining 52

FineReport

MARCH 24, 2024

Rapid technological advancements and extensive networking have propelled the evolution of data analytics, fundamentally reshaping decision-making practices across various sectors. These professionals collaborate with IT teams, management, or data scientists to align analytical efforts with organizational objectives across various industries.

Statistics 52

Statistics Data mining Visualization Sales 52