Smart Data Collective

SEPTEMBER 16, 2020

Predictive analytics, sometimes referred to as big data analytics, relies on aspects of data mining as well as algorithms to develop predictive models. These predictive models can be used by enterprise marketers to more effectively develop predictions of future user behaviors based on the sourced historical data.

Predictive Analytics 349

Predictive Analytics Pharmaceutical Artificial Intelligence Data Mining 349

Smart Data Collective

SEPTEMBER 2, 2022

Operational data refers to the way the business runs, including shipping and logistics, and customer relationship management. Data has become very important for improving customer service. Use Big Data for Reputation Management. You need to use data mining to improve reptation management.

Big Data 334

Big Data Planning Data Mining Logistics 334

Smart Data Collective

APRIL 23, 2019

Big data tracking tools and Hadoop data mining solutions make it easier for them to determine the popularity of different products in their inventory. McKinsey published a report discussing the use of big data for monitoring sales. The data they collect well then be useful for optimizing their influencer campaigns.

Big Data 262

Big Data Data Mining Monitoring Digital 262

Smart Data Collective

JUNE 14, 2022

There are a lot of important practices that you need to follow if you want to make sure that your program can properly carry out data analytics or data mining tasks. Common Programming Mistakes Data Developers Must Avoid. You should consider getting professional programming homework help online if you lose your data.

Data Mining 309

Data Mining Big Data Logistics Data Analytics 309

Smart Data Collective

APRIL 8, 2020

Data warehouse, also known as a decision support database, refers to a central repository, which holds information derived from one or more data sources, such as transactional systems and relational databases. The data collected in the system may in the form of unstructured, semi-structured, or structured data.

Data Warehouse 361

Data Warehouse Big Data Data Mining Business Intelligence 361

Smart Data Collective

MAY 4, 2023

UMass Global has a very insightful article on the growing relevance of big data in business. Big data has been discussed by business leaders since the 1990s. It refers to datasets too large for normal statistical methods. Data gathering can take many forms, including web scraping, data mining, and social media monitoring.

Big Data 274

Big Data Data Mining Banking Digital 274

Smart Data Collective

OCTOBER 17, 2022

A job is any unit of assigned work that will perform a specific said task related to data. The source from which data enters the pipeline is called upstream while downstream refers to the final destination where the data will go. Data flows down the pipeline just like water. Data Pipeline Architecture Planning.

Data Warehouse 363

Data Warehouse Big Data Procurement Data Visualization 363

Smart Data Collective

MAY 15, 2019

They use a variety of data mining tools to make this possible. These messages might encourage the recipient to take some sort of action that can lead to further data exploitation. The bluejacking method refers to a simple hack where the attacker sends a message to a nearby Bluetooth user. . #1 Bluebugging. 2 Bluejacking.

Big Data 267

Big Data Data Mining Digital Data Security 267

Smart Data Collective

SEPTEMBER 17, 2020

Big data has created a new range of tools meant to make online privacy more feasible. VPNs are some of the most widely used data protection tools. They can easily handle hundreds of gigabytes of data. A server cluster refers to a group of servers that share information and data. Monitor Computer Usage.

Data Analytics 270

Data Analytics Data Analytics Big Data Cybersecurity 270

Smart Data Collective

JUNE 25, 2019

They pointed out that big data might help you learn about customers, but only if you make it a priority: “Before you start thinking wildly about hiring professionals to crunch the numbers for you, you should understand that ‘big data’ is not always that big. Big data is vital to consumer research.

Big Data 248

Big Data Data Mining Innovation Digital 248

Smart Data Collective

FEBRUARY 28, 2022

However, SEO as it is commonly referred to, is one of the search engine marketing strategies that you should encourage your employees at the library to apply in their market research strategy. Big data is helping improve SEO strategies. Big Data is a Big Deal for Library Marketing. However, librarians also benefit form data.

Big Data 290

Big Data Digital Data Mining Healthcare 290

BizAcuity

OCTOBER 21, 2019

– into structured data to develop actionable managerial insights to enhance their operations. . . Text mining is also referred to as text analytics, is the process of deriving high -quality information from text.

Data Mining 183

Data Mining Predictive Analytics Visualization Information Technology 183

Smart Data Collective

SEPTEMBER 21, 2022

They refer to personal qualities that are transferable to any type of role. Problem solving refers to the ability to find solutions to any issues in quite a timely manner. In fact, one expert points out that 85% of the success in the technology sector can be attributed to soft skills like good communication. Problem Solving.

Skillset 258

Skillset Project Management Data Mining Finance 258

BizAcuity

MAY 7, 2019

For instance, if the demand is underestimated, sales can be lost due to the lack of supply of goods – which is referred to as a negative gap. Similarly, if the demand is overestimated, then the supplier is left with a surplus – also referred to as a positive gap – which then becomes a financial drain.

Supply Chain 189

Supply Chain Data Mining Predictive Analytics Planning 189

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. Reference Patient Segmentation Using K-Means Algorithm in GAVS Rhodium Platform.

Data Mining 52

Data Mining Healthcare Banking Retail 52

Smart Data Collective

JANUARY 11, 2023

The term deep web refers to the part of the internet that doesn’t appear in surface web search engine results. The Deep Web merely refers to information that is not easily accessed by the public through search engines. .” They get their results from public domain websites known as the surface web. The Deep Web.

Big Data 299

Big Data Innovation Data Mining 299

Dataversity

MARCH 2, 2021

Also known as Stealth IT, this refers to information technology (IT) systems built and used within organizations without explicit organizational approval or deployed by departments other than the IT department. Click to learn more about author Jay Chapel. Shadow IT: you’ve probably heard of it.

Information Technology 208

Information Technology Information Technology Data Mining 208

BizAcuity

OCTOBER 21, 2019

into structured data to develop actionable managerial insights to enhance their operations. Text mining is also referred to as text analytics, is the process of deriving high -quality information from text. Text Analytics – is a process of turning unstructured text – available in the form of tweets, comments, reviews, etc.

Data Mining 100

Data Mining Predictive Analytics Visualization Information Technology 100

BizAcuity

MARCH 31, 2022

With the massive influx of big data, several businesses use AI platforms to help save costs in a number of ways including automating certain procedures, speeding up key activities among others. A lot of testing AI methods can be utilized for better and more accurate outcomes from mining the data. Hope the article helped.

Artificial Intelligence 130

Artificial Intelligence Data Analytics Data Analytics Predictive Analytics 130

BizAcuity

APRIL 1, 2023

Data governance and security measures are critical components of data strategy. KPI Analysis: the process of evaluating the performance of an organization using a set of measurable metrics infrastructure: refers to the hardware, software, and other key resources that are used to manage, maintain and analyze data within an organization.

Business Intelligence 130

Business Intelligence Business Intelligence Data Warehouse Data Mining 130

BizAcuity

JANUARY 31, 2023

Data governance and security measures are critical components of data strategy. KPI Analysis: the process of evaluating the performance of an organization using a set of measurable metrics infrastructure: refers to the hardware, software, and other key resources that are used to manage, maintain and analyze data within an organization.

Business Intelligence 130

Business Intelligence Business Intelligence Data Warehouse Data Mining 130

Data Pine

OCTOBER 25, 2022

7) “Data Science For Business: What You Need To Know About Data Mining And Data-Analytic Thinking” by Foster Provost & Tom Fawcett. Don’t be deceived by the advanced data mining topics covered in the book – we guarantee that it will teach you a host of practical skills. A book to behold.

Business Intelligence 117

Business Intelligence Business Intelligence Big Data Data Mining 117

The BAWorld

NOVEMBER 8, 2024

By exploring the types of business analytics —descriptive, diagnostic, predictive, and prescriptive—businesses can gain deeper insights and make more informed, data-driven decisions that drive success. It is described using methods like drill-down, data discovery, data mining, and correlations.

Predictive Analytics 40

Predictive Analytics Data Discovery Data Mining Visualization 40

Marutitech

DECEMBER 17, 2021

With the advancements in technology, data mining, and machine learning tools, several types of predictive analytics models are available to work with. That’s why LSTM RNN is the preferable algorithm for predictive models like time-series or data like audio, video, etc. Top 5 Predictive Analytics Models.

Predictive Analytics 140

Predictive Analytics Data Mining Finance Data Analytics 140

Roman Pichler

APRIL 7, 2025

This can be achieved in two ways: First, data mining can identify opportunities for differentiation, assuming that the relevant data exists. Reading the references used by the latter, I found that most of the time, the bot did a great job at extracting and summarising informationbut not always. [8] 9] Clayton.

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Data Pine

SEPTEMBER 27, 2022

One of the best beginners’ books on SQL for the analytical mindset, this masterful creation demonstrates how to leverage the two most vital tools for data query and analysis – SQL and Excel – to perform comprehensive data analysis without the need for a sophisticated and expensive data mining tool or application.

IBM cost 117

IBM cost Data Warehouse Business Intelligence Business Intelligence 117

Data Pine

MARCH 25, 2019

What Is A Data Analysis Method? Data analysis method focuses on strategic approaches to taking raw data, mining for insights that are relevant to the business’s primary goals, and drilling down into this information to transform metrics, facts, and figures into initiatives that benefit improvement.

Big Data 87

Big Data Visualization Data Analytics Data Analytics 87

GAVS Technology

AUGUST 5, 2021

It basically refers to the online consultation between a doctor and a patient. Cloud platform players like Microsoft Azure have built reference architectures for building telehealth applications. These reference architectures utilize the best of components from the cloud platform and fit them together for multiple use cases.

Healthcare 52

Healthcare Monitoring Data Mining Documentation 52

The BAWorld

NOVEMBER 22, 2021

Data analytics is the science of examining raw data to determine valuable insights and draw conclusions for creating better business outcomes. Data Cleaning. Uniqueness is a data quality dimension that refers to the singularity of records or attributes. For example, identifying any duplicates in the data sets.

Data Analytics 98

Data Analytics Data Analytics Data Warehouse Data Modelling 98

Sisense

APRIL 26, 2020

Companies and businesses focus a lot on data collection in order to make sure they can get valuable insights out of it. Understanding data structure is a key to unlocking its value. A data’s “structure” refers to a particular way of organizing and storing it in a database or warehouse so that it can be accessed and analyzed.

Data Warehouse 52

Data Warehouse Data Mining Artificial Intelligence Visualization 52

Sisense

AUGUST 11, 2019

BI lets you apply chosen metrics to potentially huge, unstructured datasets, and covers querying, data mining , online analytical processing ( OLAP ), and reporting as well as business performance monitoring, predictive and prescriptive analytics. But on the whole, BI is more concerned with the whats and the hows than the whys.

Business Intelligence 75

Business Intelligence Business Intelligence Data Mining Predictive Analytics 75

Data Pine

MAY 14, 2019

This interdisciplinary field of scientific methods, processes, and systems helps people extract knowledge or insights from data in a host of forms, either structured or unstructured, similar to data mining. If you want to become an Ipython legend, this is one of the best books on data science on offer at the moment.

Artificial Intelligence 140

Artificial Intelligence Big Data Business Intelligence Business Intelligence 140

Marutitech

JANUARY 21, 2022

Companies worldwide follow various approaches to deal with the process of data mining. . This method is generally known as the CRISP-DM, abbreviated as Cross-Industry Standard Process for Data Mining. . Data Understanding. Interpreting data. The CRISP-DM methodology is as follows: Business Understanding.

Project Management 113

Project Management Data Mining Data Analytics Data Analytics 113

Watermark Learning

OCTOBER 3, 2023

The International Institute of Business Analysis (IIBA®) created and maintains the BABOK Guide v3 , an indispensable reference for any business analyst. The Business Analysis Body of Knowledge (BABOK® Guide v3) provides knowledge areas, tasks, and techniques to help the business analyst do their job.

Process Modelling 86

Process Modelling Business Analysis Business Analysis Visualization 86

GAVS Technology

SEPTEMBER 2, 2021

With the growth of Hyper Scale Cloud Data Platforms, the term ‘massive data’ has taken a back seat. Hence, Big Data can now be referred to as unstructured data which is not in conformance with enterprise business rules, quality constraints and formats. Srini is the Technology Advisor for GAVS.

Master Data Management 52

Master Data Management Healthcare Big Data Data Mining 52

GAVS Technology

NOVEMBER 3, 2020

As mentioned in my earlier articles ( Healthcare Data Sharing & Zero Knowledge Proofs in Healthcare Data Sharing ), GAVS Rhodium framework enables Patient and Data Management and Patient Data Sharing and graph databases play a major part in providing patient 360 as well as for provider (doctor) credentialing data.

Healthcare 52

Healthcare Data Mining Data Warehouse Data Management 52

GAVS Technology

JANUARY 7, 2021

GAVS Reference Implementation Rhodium to cater to Healthcare Data Management and Interoperability has positioned Blockchain as a core mechanism for patient data sharing, we will share more of our thoughts and details of reference implementation in the coming articles in this series.

Healthcare 52

Healthcare Data Modelling Data Mining Government 52