Smart Data Collective

FEBRUARY 28, 2023

Data analytics technology has had a profound impact on the state of the financial industry. A growing number of financial institutions are using analytics tools to make better investing decisions and insurers are using analytics technology to improve their underwriting processes.

Data Mining 247

Data Mining Finance Data Analytics Data Analytics 247

Analysts Corner

MARCH 9, 2023

Why learning Excel is important for a career working with data Image used with permission from Hemanand Vadivel, Co-founder codebasics.io This article was first published in The Data Pub Newsletter on Substack on January 5, 2023. Why do business and data analysis job roles not always explicitly mention Excel as required skill?

Data Quality 130

Data Quality Data Analytics Data Analytics Skillset 130

Analysts Corner

JUNE 18, 2023

In today’s data-driven world, organizations increasingly rely on large volumes of data from various sources to make informed decisions. This article will provide an in-depth and up-to-date comparison of ETL and ELT, their advantages and disadvantages, and guidance for choosing the right data integration strategy in 2023.

Data Warehouse 130

Data Warehouse IBM Maintenance IBM Support Data Quality 130

Astera

MAY 23, 2023

Data-Driven Sports: Unveiling the World of Sports Data Analytics Have you ever wondered how sports teams decide which players to acquire and which strategies to implement? The answer lies in data-driven decision-making. Sports data analytics has become an integral component of the modern sports industry.

Data Analytics 40

Data Analytics Data Analytics Data Security Predictive Analytics 40

Astera

NOVEMBER 27, 2023

Clean and accurate data is the foundation of an organization’s decision-making processes. However, studies reveal that only 3% of the data in an organization meets basic data quality standards, making it necessary to prepare data effectively before analysis. This is where data profiling comes into play.

Data Mining 52

Data Mining Data Quality Data Governance Business Intelligence 52

Astera

FEBRUARY 7, 2024

Zero ETL is a data integration technique where data is transferred from source to destination without the need for a traditional ETL (Extract, Transform, Load) process. Zero – ETL simplifies data accessibility by enabling seamless querying across disparate data sources without necessitating extensive data movement.

Real-time Data 52

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Astera

JULY 18, 2023

million terabytes of data is created each day. While an abundance of data can fuel innovation and improve decision-making for businesses, it also means additional work of sifting through it before transforming it into insights. Thankfully, businesses now have data wrangling tools at their disposal to tame this data deluge.

Data Quality 52

Data Quality Visualization Data Visualization Documentation 52

ElegantJ BI

SEPTEMBER 15, 2017

Choosing and implementing a solution for advanced analytics and augmented data discovery is not as simple as buying team t-shirts for your company baseball team. Requirements Planning for Data Analytics Many organizations are so anxious to get into analytics that they fail to consider the depth and breadth of their needs.

Data Governance 130

Data Governance Data Discovery Government Data Analytics 130

ElegantJ BI

SEPTEMBER 15, 2017

Choosing and implementing a solution for advanced analytics and augmented data discovery is not as simple as buying team t-shirts for your company baseball team. Requirements Planning for Data Analytics Many organizations are so anxious to get into analytics that they fail to consider the depth and breadth of their needs.

Data Governance 130

Data Governance Data Discovery Government Data Analytics 130

ElegantJ BI

SEPTEMBER 15, 2017

Choosing and implementing a solution for advanced analytics and augmented data discovery is not as simple as buying team t-shirts for your company baseball team. Requirements Planning for Data Analytics. What kind of statistical data, report capability and security will you need?

Data Governance 130

Data Governance Data Discovery Government Data Analytics 130

Astera

NOVEMBER 1, 2023

Introduction   As financial institutions navigate intricate market dynamics and heighten regulatory requirements, the need for reliable and accurate data has never been more pronounced. This has spotlighted data governance—a discipline that shapes how data is managed, protected, and utilized within these institutions.

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Data Governance Government Data Quality Banking 40

Analysts Corner

JANUARY 12, 2023

In this article, we present a brief overview of compliance and regulations, discuss the cost of non-compliance and some related statistics, and the role data quality and data governance play in achieving compliance. As new risks emerge, new regulations come into the picture and/or existing regulations are amended.

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Data Quality Data Governance Government IBM cost 130

Smart Data Collective

AUGUST 21, 2019

A 2015 paper by the World Economic Forum showed that big data might just be a fad. The article certainly raised a lot of controversy, considering the massive emphasis on the value of data technology. The article was not arguing that big data is going to go obsolete. Endor is a leading pioneer in data science.

E-Commerce 168

E-Commerce Big Data Data Quality Data Management 168

Astera

OCTOBER 19, 2023

Data analysis demands precision, and at its core lies the vital role of data preparation tools. These tools serve as the cornerstone for ensuring your data is accurate, consistent, and reliable. Before embarking on your data analysis journey, it’s crucial to choose the right tool for the job. This was up 2.6%

IBM Support 40

IBM Support Data Quality IBM Maintenance Real-time Data 40

Smart Data Collective

JUNE 19, 2019

Are you frustrated by an increase in the quantity of the data that your organization handles? Many businesses globally are dealing with big data which brings along a mix of benefits and challenges. A report by China’s International Data Corporation showed that global data would rise to 175 Zettabyte by 2025.

Big Data 174

Big Data Logistics Monitoring Data Analytics 174

Astera

APRIL 28, 2023

Data management can be a daunting task, requiring significant time and resources to collect, process, and analyze large volumes of information. AI is a powerful tool that goes beyond traditional data analytics. Trends AI is already shaping the processes surrounding data warehousing in many ways.

E-Commerce 40

E-Commerce Supply Chain Artificial Intelligence Data Warehouse 40

Astera

NOVEMBER 14, 2023

If you have had a discussion with a data engineer or architect on building an agile data warehouse design or maintaining a data warehouse architecture, you’d probably hear them say that it is a continuous process and doesn’t really have a definite end. What do you need to build an agile data warehouse?

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Data Warehouse Agile Data Modelling Data Quality 52

Data Pine

JANUARY 24, 2021

In our cutthroat digital age, the importance of setting the right data analysis questions can define the overall success of a business. That being said, it seems like we’re in the midst of a data analysis crisis. Your Chance: Want to perform advanced data analysis with a few clicks? Data Is Only As Good As The Questions You Ask.

Data Visualization 126

Data Visualization Data Analytics Data Analytics Data Quality 126

Sisense

OCTOBER 15, 2020

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. How industries can benefit from streaming data.

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Supply Chain Cloud Computing Data Quality Data Analytics 98

Astera

DECEMBER 21, 2022

A voluminous increase in unstructured data has made data management and data extraction challenging. The data needs to be converted into machine-readable formats for analysis. However, the growing importance of data-driven decisions has changed how managers make strategic choices. What is Data Extraction?

Data Mining 52

Data Mining Documentation Data Quality Data Warehouse 52

Marutitech

JANUARY 21, 2022

A growing number of data science projects has led to an increase in the demand for data science managers. It is natural to think that any project manager can do the job or that a good senior data scientist will make an excellent data science manager. 5 Key Concepts of Data Science Management . Engage stakeholders.

Project Management 113

Project Management Data Mining Data Analytics Data Analytics 113

Astera

JANUARY 23, 2023

Billion by 2026 , showing the crucial role of health data management in the industry. With the digitization of healthcare data, advanced analytics and reporting have taken center stage, facilitating improved decision-making in clinical care. What is Health Data Management ?

Data Management 52

Data Management IBM Maintenance Healthcare IBM cost 52

Astera

AUGUST 8, 2023

While data volume is increasing at an unprecedented rate today, more data doesnt always translate into better insights. What matters is how accurate, complete and reliable that data. Data quality tools make it easier for you to deal with the challenges of moder data: volume and velocity.

Data Quality 52

Data Quality IBM Support IBM Maintenance Monitoring 52

Astera

DECEMBER 21, 2022

For this reason, most organizations today are creating cloud data warehouse s to get a holistic view of their data and extract key insights quicker. What is a cloud data warehouse? Moreover, when using a legacy data warehouse, you run the risk of issues in multiple areas, from security to compliance.

Data Warehouse 52

Data Warehouse Supply Chain Business Intelligence Business Intelligence 52

Astera

MARCH 16, 2023

For a long time, databases have been the go-to avenue for companies to store and access data. However, with the rise of big data, businesses of all sizes are rapidly adopting cloud data lakes as a cheaper yet highly scalable alternative storage solution. What is Azure Data Lake? What is Oracle Database?

Big Data 52

Big Data Data Warehouse Data Quality Data Analytics 52

Sisense

SEPTEMBER 3, 2020

We live in a constantly-evolving world of data. That means that jobs in data big data and data analytics abound. The wide variety of data titles can be dizzying and confusing! The growth in the range of data job titles is a testament to the value that these experts bring to their organizations.

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Chief Data Officer Finance Data Modelling Visualization 97

Sisense

OCTOBER 29, 2020

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. Data is the dealbreaker.

Artificial Intelligence 90

Artificial Intelligence Cybersecurity Data Analytics Data Analytics 90

Tableau

DECEMBER 7, 2020

Still, there are business leaders who are feeling optimistic about the next six months - those from data-driven organisations. Many of whom have been encouraged by the critical advantages that data has brought about for their organisation during the pandemic, empowering them to come out of the crisis better than others. .

Banking 88

Banking Embedded Analytics Agile Healthcare 88

Smart Data Collective

JULY 9, 2023

ETL (Extract, Transform, Load) is a crucial process in the world of data analytics and business intelligence. By understanding the power of ETL, organisations can harness the potential of their data and gain valuable insights that drive informed choices. Let’s break down each step: 1.

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Data Warehouse Data Quality Data Analytics Data Analytics 204

The BAWorld

NOVEMBER 22, 2021

Top Data Analytics terms are explained in this article. Learn these to develop competency in Business Analytics. Data Analytics Terms & Fundamentals. Conformity is a data quality dimension, and it measures how well the data aligns to internal, external, or industry-wide standards.

Data Analytics 98

Data Analytics Data Analytics Data Warehouse Data Modelling 98

Sisense

FEBRUARY 10, 2021

In order to do this, my team uses data to identify problem areas and potential issues for our customers (ideally before they happen). Like many organizations, our utility company clients are sitting on copious amounts of data from a variety of sources, including mobile applications and streaming data captured by grid-edge technologies.

Skillset 52

Skillset Data Requirement Data Quality Documentation 52

The BAWorld

NOVEMBER 28, 2021

The primary purpose of data scientists is to find a suitable data science model for the massive amount of data. A data science model refers to organizing the data elements and extracting meaningful insights from raw, unstructured data. What is Exploratory Data Analysis? What Is Data Wrangling?

Visualization 52

Visualization Data Visualization Data Discovery Data Quality 52

Domo

MARCH 12, 2021

As companies dig more deeply into their digital transformations, they’re finding more data that has value. But there’s another card in the data deck to play: commercializing data for revenue. For example, LexisNexis has spun out its legal-spend data into a SaaS offering to help companies better manage these expenses.

Digital Transformation 52

Digital Transformation Healthcare Digital Data Quality 52

Tableau

DECEMBER 7, 2020

Still, there are business leaders who are feeling optimistic about the next six months - those from data-driven organisations. Many of whom have been encouraged by the critical advantages that data has brought about for their organisation during the pandemic, empowering them to come out of the crisis better than others. .

Banking 52

Banking Embedded Analytics Agile Healthcare 52

Data Pine

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.

IBM cost 117

IBM cost Data Warehouse Business Intelligence Business Intelligence 117

Actian

JULY 9, 2019

There has been much talk recently about the technical implications of leveraging SaaS solutions and the benefits of integrating data across supply-chain networks. It makes sense in the era of digital-transformation initiatives that integration of IT systems and data sharing across companies have become high-priority strategic initiatives.

Supply Chain 40

Supply Chain Digital Transformation Government Documentation 40

Insight Software

JANUARY 20, 2021

Businesses today have access to a greater volume of data than ever before. Organizations that can effectively leverage data as a strategic asset will inevitably build a competitive advantage and outperform their peers over the long term. That process, broadly speaking, is called data management. Data, Data, and More Data.

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Data Management E-Commerce Data Analytics Data Analytics 95