Smart Data Collective

FEBRUARY 9, 2022

Learn how DirectX visualization can improve your study and assessment of different trading instruments for maximum productivity and profitability. Analytics technology has become an invaluable aspect of modern financial trading. Luckily, there are a few analytics optimization strategies you can use to make life easy on your end.

Visualization 133

Visualization Optimization Analytics Testing 133

Smart Data Collective

JANUARY 18, 2021

But the good news is, by learning how to search engine optimize your videos, you can break through the noise and get just as much traffic as larger brands. You can use data analytics to get more value out of your YouTube marketing strategy, especially you understand SEO. Optimize Your Descriptions.

Data Analytics 104

Data Analytics Analytics Data mining Big Data 104

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. Not finding what you’re looking for?

Data Science 126

Data Science Machine Learning Predictive Modeling Experimentation 126

FineReport

JULY 28, 2021

If you are curious about the difference and similarities between them, this article will unveil the mystery of business intelligence vs. data science vs. data analytics. Definition: BI vs Data Science vs Data Analytics. Typical tools for data science: SAS, Python, R. What is Data Analytics?

Business Intelligence 98

Business Intelligence Data Science Data Analytics Analytics 98

CIO Business Intelligence

JULY 5, 2022

What is the difference between business analytics and data analytics? Business analytics is a subset of data analytics. Data analytics is used across disciplines to find trends and solve problems using data mining , data cleansing, data transformation, data modeling, and more.

Business Analytics 131

Business Analytics Prescriptive Analytics Data mining Diagnostic Analytics 131

CIO Business Intelligence

FEBRUARY 10, 2023

Predictive analytics definition Predictive analytics is a category of data analytics aimed at making predictions about future outcomes based on historical data and analytics techniques such as statistical modeling and machine learning. from 2022 to 2028. Forecast financial market trends.

Predictive Analytics 143

Predictive Analytics Analytics Predictive Modeling Forecasting 143

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. In this landscape, data analysts assume a pivotal role, tasked with interpreting data to drive informed decision-making.

Statistics 52

Statistics Data mining Visualization Reporting 52

Smart Data Collective

NOVEMBER 11, 2021

One of the reasons that we focus on these sectors is that there is so much data on consumers, which makes it easier to create a solid business model with big data. However, data analytics technology can be just as useful with regards to creating a successful B2B business. Set Goals and Develop a Strategy with Data Mining.

B2B 112

B2B Data mining Big Data Marketing 112

CIO Business Intelligence

APRIL 22, 2022

Data science is a method for gleaning insights from structured and unstructured data using approaches ranging from statistical analysis to machine learning. Data science gives the data collected by an organization a purpose. Data science vs. data analytics. The benefits of data science.

Data Science 139

Data Science Statistics Machine Learning Visualization 139

BizAcuity

MARCH 31, 2022

Combined, it has come to a point where data analytics is your safety net first, and business driver second. Marketers also have access to several AI softwares to save time and optimize their work at every step of the funnel. Content writing, copywriting, video analytics and customer reinvestment, all have AI applications now.

Data Analytics 52

Data Analytics Analytics Prescriptive Analytics Predictive Analytics 52

Smart Data Collective

MARCH 29, 2021

Companies need to make the most out of their data resources, which includes collecting and processing them correctly. Data collection and processing methods are predicted to optimize the allocation of various resources for MRO functions. Additionally, data collection becomes a costly process.

Big Data 137

Big Data Management Cost-Benefit Internet of Things 137

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 121

Predictive Analytics Analytics Predictive Modeling Data mining 121

Smart Data Collective

NOVEMBER 12, 2021

Big data technology has been instrumental in changing the direction of countless industries. Companies have found that data analytics and machine learning can help them in numerous ways. However, there are a lot of other benefits of big data that have not gotten as much attention. Here’s why.

Data-driven 103

Data-driven Cost-Benefit Data mining Big Data 103

BizAcuity

MAY 16, 2022

When data is stored in silos and the back-end systems are not able to process the massive amounts of data seamlessly, critical information may be lost. We get critical business insights based on how well we leverage our business data. The more effectively a company uses data, the better it performs. Data mining.

Business Intelligence 52

Business Intelligence Data mining Visualization Data Lake 52

CIO Business Intelligence

APRIL 6, 2022

By giving leadership at all levels more timely access to critical data about business operations, businesses can see more of their options, make and automate better decisions, and further improve efficiency to drive higher customer satisfaction and profitability. Intel® Technologies Move Analytics Forward.

Data mining 71

Data mining Deep Learning Insurance Digital Transformation 71

Smart Data Collective

AUGUST 8, 2021

There are a number of new ranking factors that Google depends on, which means that using data analytics and AI technology can help immensely. Utilizing Big Data in Your Technical SEO Strategy. Technical SEO encompasses a wide range of optimizations that help search engine robots crawl and index your site more effectively.

Data-driven 73

Data-driven Big Data Machine Learning Strategy 73

CIO Business Intelligence

AUGUST 9, 2022

What is a data engineer? Data engineers design, build, and optimize systems for data collection, storage, access, and analytics at scale. They create data pipelines used by data scientists, data-centric applications, and other data consumers.

Analytics 127

Analytics Data Science Statistics Unstructured Data 127

erwin

JUNE 11, 2020

Transforming Industries with Data Intelligence. Data intelligence has provided useful and insightful information to numerous markets and industries. With tools such as Artificial Intelligence, Machine Learning, and Data Mining, businesses and organizations can collate and analyze large amounts of data reliably and more efficiently.

Key Performance Indicator 103

Key Performance Indicator KPI Data-driven Machine Learning 103

datapine

NOVEMBER 27, 2019

Often seen as the highest foe-friend of the human race in movies ( Skynet in Terminator, The Machines of Matrix or the Master Control Program of Tron), AI is not yet on the verge to destroy us, in spite the legit warnings of some reputed scientists and tech-entrepreneurs. 5) Collaborative Business Intelligence.

Business Intelligence 361

Business Intelligence Analytics Prescriptive Analytics Data Quality 361

FineReport

JUNE 11, 2021

Business intelligence and analytics (BI&A) and the related field of big data analytics have emerged as an increasingly important area in the business communities. Business Analytics. But if you are working in a company with complex business, I suggest you distinguish between business intelligence and data analytics.

Business Intelligence 98

Business Intelligence Analytics Dashboards Statistics 98

datapine

SEPTEMBER 27, 2022

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. We have already given you our top data visualization books , top business intelligence books , and best data analytics books.

Business Intelligence 292

Business Intelligence Data Warehouse Data Processing Data mining 292

Jet Global

MAY 9, 2024

A data pipeline is a series of processes that move raw data from one or more sources to one or more destinations, often transforming and processing the data along the way. Data pipelines support data science and business intelligence projects by providing data engineers with high-quality, consistent, and easily accessible data.

Data Lake 52

Data Lake Data Warehouse Business Intelligence Machine Learning 52

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. These algorithms are getting better all the time.

Analytics 115

Analytics Cost-Benefit Testing Dashboards 115

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.

Modeling 84

Modeling Big Data IoT Data Warehouse 84

AWS Big Data

FEBRUARY 22, 2023

An AWS Glue ETL job, using the Apache Hudi connector, updates the S3 data lake hourly with incremental data. The AWS Glue job can transform the raw data in Amazon S3 to Parquet format, which is optimized for analytic queries. Data had to be manually processed by data analysts, and data mining took a long time.

Data Lake 52

Data Lake Dashboards Cost-Benefit Metadata 52

Smart Data Collective

FEBRUARY 4, 2021

Big data is changing the future of video marketing forever. YouTube was launched in 2005, when big data was just a blip on the horizon. However, data analytics and AI have made video technology more versatile than ever. Clever video marketers know how to use AI and big data to their full advantage.

Data-driven 83

Data-driven Marketing Big Data Data mining 83

Sisense

MARCH 14, 2021

However, when investigating big data from the perspective of computer science research, we happily discover much clearer use of this cluster of confusing concepts. As we move from right to left in the diagram, from big data to BI, we notice that unstructured data transforms into structured data.

Big Data 52

Big Data IoT Data Warehouse Data-driven 52

FineReport

JUNE 11, 2021

Business intelligence and analytics (BI&A) and the related field of big data analytics have emerged as an increasingly important area in the business communities. Business Analytics. But if you are working in a company with complex business, I suggest you distinguish between business intelligence and data analytics.

Business Intelligence 52

Business Intelligence Analytics Dashboards Statistics 52

CIO Business Intelligence

MARCH 24, 2023

Data governance principles According to the Data Governance Institute, eight principles are at the center of all successful data governance and stewardship programs: All participants must have integrity in their dealings with each other.

Data Governance 142

Data Governance Management Metadata Data Quality 142

Sisense

APRIL 26, 2020

It can work easily with most standard analytical models. Most BI tools also know how to work with it, allowing users to optimize resources from a technical perspective. Some examples of structured data are Excel files, Google Sheets , and traditional DataBase Management Systems (DBMS). Making life better for data professionals.

Unstructured Data 52

Unstructured Data Data Warehouse Structured Data Data mining 52

Grooper

AUGUST 19, 2019

Applied analytics Business analytics Machine learning and data science. Applied Analytics. Applied analytics is all about building a business analytics portfolio of actionable insights which directly affect and improve business processes. Data science skills. Data science approaches.

Analytics 54

Analytics Machine Learning Data Science Data-driven 54

IBM Big Data Hub

APRIL 15, 2024

Organizations gain the ability to effortlessly modify and scale their data in response to shifting business demands, leading to greater agility and adaptability. This holistic view empowers businesses to make data-driven decisions, optimize processes and gain a competitive edge.

Analytics 67

Analytics Optimization Data-driven Metrics 67

IBM Big Data Hub

MARCH 14, 2024

This involves unifying and sharing a single copy of data and metadata across IBM® watsonx.data ™, IBM® Db2 ®, IBM® Db2® Warehouse and IBM® Netezza ®, using native integrations and supporting open formats, all without the need for migration or recataloging.

Cost-Benefit 79

Cost-Benefit Metadata Optimization Management 79

IBM Big Data Hub

JULY 24, 2023

The rise in complexity has created a need for a systematic approach to ensuring the health and optimization of any organization’s IT services. This has led to an increase in the importance of IT operations analytics (ITOA), the data-driven process by which organizations collect, store and analyze data produced by their IT services.

IT 57

IT Analytics Cost-Benefit Predictive Analytics 57

Jet Global

MAY 1, 2023

All of the above points to embedded analytics being not just the trendy route but the essential one. Users Want to Help Themselves Data mining is no longer confined to the research department. Today, every professional has the power to be a “data expert.” Ideally, your primary data source should belong in this group.

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52

Smart Data Collective

AUGUST 31, 2021

Big data has led to some remarkable changes in the field of marketing. Many marketers have used AI and data analytics to make more informed insights into a variety of campaigns. Data analytics tools have been especially useful with PPC marketing , media buying and other forms of paid traffic.

Data-driven 122

Data-driven Marketing Big Data Advertising 122

IBM Big Data Hub

APRIL 10, 2023

They have performed many different Proof-of-Concepts, all focusing on the Analytics part of the model. The data- and automation aspects were neglected in these PoC’s, resulting in very sub-optimal results. Therefore, data mining is the business of every CSP nowadays.

Data mining 60

Data mining Data-driven Uncertainty Data Processing 60