Smart Data Collective

SEPTEMBER 9, 2020

Analysis of medical data collected from different groups and demographics allows researchers to understand patterns and connexions in diseases and identify factors that increase the efficacy of certain treatments. Digitization empowers people to take care of their own wellbeing. Reliable Transactions through Blockchain.

Healthcare 349

Healthcare Artificial Intelligence Banking Data Mining 349

Smart Data Collective

AUGUST 22, 2022

Through data-driven marketing, companies can boost their returns and sales, thanks to all the information they’re able to collect about leads and prospective customers. Presents you with an objective assessment. Companies that fail to adopt the same practices are unlikely to keep up with those that do. Conclusion.

Big Data 246

Big Data Data Mining 246

Smart Data Collective

JUNE 16, 2021

The lack of training and development in the workforce presents developers with a challenge that they cannot ignore. Data analytics can also help with compliance. Call centers can use data mining to learn more about various rules and make sure their operations comply with them. Cybersecurity.

Data Analytics 299

Data Analytics Data Analytics Cybersecurity Predictive Analytics 299

Smart Data Collective

JUNE 8, 2021

The benefits are realized by personalizing advertising content and placements to present it to the consumer in an individualized way. You can benefit by interpreting actionable data from user engagements. How are these results achieved? Personalized content.

Artificial Intelligence 317

Artificial Intelligence Data Mining Digital Innovation 317

Smart Data Collective

MAY 8, 2022

For example, big data analytics leverages AI for enhanced data analysis. In contrast, AI needs a large amount of data to improve the decision-making process. Consumers are presented with ads every day they access the online world. Its ability to recognize data trends is handy and quickly adapts to any changes made.

Big Data 306

Big Data Data Analytics Data Analytics Supply Chain 306

The BAWorld

NOVEMBER 5, 2024

Making sense of the data in its raw format will be extremely difficult. This data has to be summarized, categorized and presented in a user-friendly manner to enable managers to understand and make sense of it. If the data is presented to me in the raw format, I would get overwhelmed with the large number of columns and rows.

Big Data 98

Big Data Data Analytics Data Mining Data Analytics 98

Smart Data Collective

SEPTEMBER 26, 2021

Data is processed to generate information, which can be later used for creating better business strategies and increasing the company’s competitive edge. getting back on topic, documents can encode data in various formats, such as Word, XML, JSON, and BSON. Manage workflow data and remove unnecessarily complex processes.

Documentation 326

Documentation Data Visualization Data Mining Visualization 326

Smart Data Collective

OCTOBER 15, 2021

This is one of the ways that big data can be most helpful. You can use sophisticated data mining tools to get the keywords you need to create a successful campaign.

Big Data 362

Big Data Data Mining Data Analytics Data Analytics 362

Smart Data Collective

SEPTEMBER 2, 2021

New advances in data analytics and data mining tools have been incredibly important in many organizations. We have talked extensively about the benefits of using data technology in the context of marketing and finance. However, big data can also be invaluable when it comes to operations management as well.

Retail 334

Retail Big Data Data Analytics Data Analytics 334

Smart Data Collective

OCTOBER 25, 2023

Well, it is – to the ones that are 100% familiar with it – and it involves the use of various data sources, including internal data from company databases, as well as external data, to generate insights, identify trends, and support strategic planning. For a beginner, it’s a lot in one place.

Digital 305

Digital Business Intelligence Business Intelligence Monitoring 305

Smart Data Collective

AUGUST 20, 2021

Machine learning and data mining tools can be very useful in this regard. You can use machine learning tools to do a deep dive into demographic and psychographic data on your customers, which will help you better understand their needs and how they would be open to helping you generate revenue.

E-Commerce 225

E-Commerce Data Mining Big Data 225

Smart Data Collective

FEBRUARY 9, 2022

A growing number of traders are using increasingly sophisticated data mining and machine learning tools to develop a competitive edge. Learn how DirectX visualization can improve your study and assessment of different trading instruments for maximum productivity and profitability. Enables Animation of 3D charts which can help you: .

Visualization 363

Visualization Data Mining Planning Data Analytics 363

Smart Data Collective

SEPTEMBER 26, 2019

One of the main changes in the investment industry in the last few years has been the proliferation of big data. Big data is the accumulation of massive amounts of information. Data mining is the art of sifting through this mountain of data in order to make sense of it.

Finance 261

Finance Big Data Data Mining Banking 261

GAVS Technology

DECEMBER 2, 2020

The benefits are obvious and individual hospitals may add more points to the above list; the rest of the article is about how to perform the patient segmentation using data mining techniques. Data Mining for Patient Segmentation. FBG: Fasting Plasma Glucose test measures the amount of glucose levels present in the blood.

Data Mining 52

Data Mining Healthcare Banking Retail 52

BizAcuity

APRIL 28, 2019

In several instances, the consumer is presented with an opportunity to improve his/ her credit history and future creditworthiness. With Big Data, it is possible to acquire and segregate data with laser sharp focus with respect to one singular debtor. It all boils down to how we negotiate with the customer.

Predictive Analytics 246

Predictive Analytics Artificial Intelligence Big Data Data Mining 246

Smart Data Collective

AUGUST 31, 2021

Find the content that worked with your audience and find a way to repurpose it by using AI and big data tools. Chances are, many people were unable to see it the first time you posted it, and some didn’t like the type presented to them. One amazing way to learn what your audience wants and needs is through tracking trends.

Big Data 362

Big Data Data Analytics Data Analytics Data Mining 362

Analysts Corner

OCTOBER 26, 2023

Business Intelligence (BI) is a set of tools, technologies, and practices that transform raw data into meaningful and actionable information, empowering organizations to make informed decisions, optimize processes, and drive better business outcomes.

Business Intelligence 130

Business Intelligence Business Intelligence Supply Chain Data Mining 130

BizAcuity

MAY 16, 2022

The more effectively a company uses data, the better it performs. Cutting down latency or delay is now one of the most crucial elements of business intelligence strategy in present times. Integrating data through data warehouses and data lakes is one of the standard industry best practices for optimizing business intelligence.

Business Intelligence 130

Business Intelligence Business Intelligence Data Mining Data Warehouse 130

Smart Data Collective

JUNE 4, 2021

Here are the chronological steps for the data science journey. First of all, it is important to understand what data science is and is not. Data science should not be used synonymously with data mining. Mathematics, statistics, and programming are pillars of data science. The Fundamentals. Mathematics.

E-Commerce 332

E-Commerce Cloud Computing Big Data Data Modelling 332

ElegantJ BI

NOVEMBER 20, 2018

R is a programming language, offered in a free software environment that supports analysts, IT and data scientists in doing tasks that require statistical computing. The R language is very popular and is used in many organizations around the world to support statistical analysis and data mining.

Data Mining 130

Data Mining Business Intelligence Business Intelligence Visualization 130

ElegantJ BI

NOVEMBER 20, 2018

R is a programming language, offered in a free software environment that supports analysts, IT and data scientists in doing tasks that require statistical computing. The R language is very popular and is used in many organizations around the world to support statistical analysis and data mining.

Data Mining 130

Data Mining Business Intelligence Business Intelligence Visualization 130

ElegantJ BI

NOVEMBER 20, 2018

R is a programming language, offered in a free software environment that supports analysts, IT and data scientists in doing tasks that require statistical computing. The R language is very popular and is used in many organizations around the world to support statistical analysis and data mining.

Data Mining 130

Data Mining Business Intelligence Business Intelligence Visualization 130

ElegantJ BI

MAY 12, 2015

By integrating data from accounting, financial and other systems, those columns of numbers can be presented in a personalized BI dashboard for reporting, customized alerts and other valuable features and outputs that will help you to help your clients. You can use data mining to suggest ways to improve results.

Data Mining 130

Data Mining Business Intelligence Business Intelligence Monitoring 130

BizAcuity

SEPTEMBER 16, 2019

They aim at simplifying huge amounts of data, into simpler insights that can been easily understood and used. The purpose of any BI dashboard is to help business users make better-informed decisions by letting them gather, consolidate and analyse their data. Defining business dashboard needs. Conclusion.

Visualization 174

Visualization Data Visualization Agile Business Intelligence 174

ElegantJ BI

APRIL 28, 2021

A Data Warehouse is a structured environment that is comprised of one or more databases and organized in tiers. An interactive, front-end tier provides search results for reporting, analytics and data mining. A Data Lake stores data with no organization or hierarchy.

Data Warehouse 130

Data Warehouse Data Mining Data Management Data Governance 130

ElegantJ BI

APRIL 28, 2021

A Data Warehouse is a structured environment that is comprised of one or more databases and organized in tiers. An interactive, front-end tier provides search results for reporting, analytics and data mining. A Data Lake stores data with no organization or hierarchy.

Data Warehouse 130

Data Warehouse Data Mining Data Management Data Governance 130

ElegantJ BI

JANUARY 25, 2018

Clickless Analytics interprets natural language queries and presents results through smart visualization and contextual information delivered in natural language. Clickless analytics, NLP and search analytics provides true data democratization of advanced analytics. Can Clickless Analytics Simplify Adoption of Augmented Analytics?

Data Discovery 130

Data Discovery Data Mining Business Intelligence Business Intelligence 130

ElegantJ BI

JANUARY 25, 2018

Clickless Analytics interprets natural language queries and presents results through smart visualization and contextual information delivered in natural language. Clickless analytics, NLP and search analytics provides true data democratization of advanced analytics. Can Clickless Analytics Simplify Adoption of Augmented Analytics?

Data Discovery 130

Data Discovery Data Mining Business Intelligence Business Intelligence 130

ElegantJ BI

JANUARY 25, 2018

Clickless Analytics interprets natural language queries and presents results through smart visualization and contextual information delivered in natural language. Clickless analytics, NLP and search analytics provides true data democratization of advanced analytics. Can Clickless Analytics Simplify Adoption of Augmented Analytics?

Data Discovery 130

Data Discovery Data Mining Business Intelligence Business Intelligence 130

ElegantJ BI

JULY 23, 2014

Most of this data is structured, and can be analyzed by exporting social media analytics and reports and using BI tools with slice and dice, filtering and other data mining and visual mining tools.

Business Intelligence 130

Business Intelligence Business Intelligence Data Mining Visualization 130

ElegantJ BI

SEPTEMBER 3, 2014

From hard copies, presentations, email alerts, and shared reporting to structured and ad hoc queries, OLAP and graphical OLAP reporting , exception reporting, and data mining, a true business intelligence reporting solution must anticipate growth and be flexible enough to satisfy the needs of today and tomorrow.

Business Intelligence 130

Business Intelligence Business Intelligence Planning Data Mining 130

ElegantJ BI

JULY 23, 2014

Most of this data is structured, and can be analyzed by exporting social media analytics and reports and using BI tools with slice and dice, filtering and other data mining and visual mining tools.

Business Intelligence 130

Business Intelligence Business Intelligence Data Mining Visualization 130

ElegantJ BI

JULY 23, 2014

Most of this data is structured, and can be analyzed by exporting social media analytics and reports and using BI tools with slice and dice, filtering and other data mining and visual mining tools.

Business Intelligence 130

Business Intelligence Business Intelligence Data Mining Visualization 130

ElegantJ BI

SEPTEMBER 3, 2014

From hard copies, presentations, email alerts, and shared reporting to structured and ad hoc queries, OLAP and graphical OLAP reporting , exception reporting, and data mining, a true business intelligence reporting solution must anticipate growth and be flexible enough to satisfy the needs of today and tomorrow.

Business Intelligence 130

Business Intelligence Business Intelligence Planning Data Mining 130

Analysts Corner

OCTOBER 26, 2023

However, just as not every phrase looking like haiku is a poetry, not every requirement is useful when presented as a user story. > > Keep reading… 3) Agile and Scrum: The Present and Future of Business Analysis by Clark Aquino In today’s business landscape, change is the only real constant.

Enterprise Architecture 130

Enterprise Architecture Requirements Gathering Business Analysis Business Analysis 130

ElegantJ BI

DECEMBER 14, 2012

We can compare results to a previous period and present data with intuitive, color highlighters, gauges, tabs, drill through, slice and dice and graphical data mining. It provides clear metrics and indicators for concise performance management.

Supply Chain 100

Supply Chain Data Mining Business Intelligence Business Intelligence 100

ElegantJ BI

DECEMBER 14, 2012

We can compare results to a previous period and present data with intuitive, color highlighters, gauges, tabs, drill through, slice and dice and graphical data mining. It provides clear metrics and indicators for concise performance management.

Supply Chain 100

Supply Chain Data Mining Business Intelligence Business Intelligence 100