Smart Data Collective

APRIL 29, 2020

The extraction of raw data, transforming to a suitable format for business needs, and loading into a data warehouse. Data transformation. This process helps to transform raw data into clean data that can be analysed and aggregated. Data analytics and visualisation. Reference data management.

Data Management 208

Data Management Data Warehouse Master Data Management Digital Transformation 208

ElegantJ BI

SEPTEMBER 15, 2017

Every enterprise is talking about Business Intelligence and Advanced Analytics. Every enterprise has considered the benefits of implementing self-serve analytics across the organization and involving business users in the process. Requirements Planning for Data Analytics.

Data Governance 130

Data Governance Data Discovery Government Data Analytics 130

Data Pine

JANUARY 24, 2021

This can include a multitude of processes, like data profiling, data quality management, or data cleaning, but we will focus on tips and questions to ask when analyzing data to gain the most cost-effective solution for an effective business strategy. Don’t ask us why – we didn’t make the rules!

Data Visualization 126

Data Visualization Data Analytics Data Analytics Data Quality 126

ElegantJ BI

SEPTEMBER 15, 2017

Every enterprise is talking about Business Intelligence and Advanced Analytics. Every enterprise has considered the benefits of implementing self-serve analytics across the organization and involving business users in the process. This does not mean that your users have to become skilled data scientists.

Data Governance 130

Data Governance Data Discovery Government Data Analytics 130

ElegantJ BI

SEPTEMBER 15, 2017

Every enterprise is talking about Business Intelligence and Advanced Analytics. Every enterprise has considered the benefits of implementing self-serve analytics across the organization and involving business users in the process. This does not mean that your users have to become skilled data scientists.

Data Governance 130

Data Governance Data Discovery Government Data Analytics 130

Astera

JANUARY 25, 2024

So, in simple terms, reverse ETL helps businesses get the right data to the right tools at the right time, making their work easier and more productive. Primary Focus Integrating, cleansing, and storing data for reporting and analysis. Use Cases Data warehousing, business intelligence, reporting, and data analytics.

E-Commerce 52

E-Commerce Data Warehouse Retail Customer Experience 52

Astera

DECEMBER 21, 2022

In comparison to cloud data warehouses, on-premise data warehouses pose certain challenges that affect the efficiency of the organizations’ analytics and business intelligence operations. 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

OCTOBER 19, 2023

Easy-to-Use, Code-Free Environment By eliminating the need for writing complex code, data preparation tools reduce the risk of errors. These tools allow users to manipulate and transform data without the potential pitfalls of manual coding. Manual export and import steps in a system can add complexity to your data pipeline.

IBM Support 40

IBM Support Data Quality IBM Maintenance Real-time Data 40

Data Pine

OCTOBER 25, 2022

With ‘big data’ transcending one of the biggest business intelligence buzzwords of recent years to a living, breathing driver of sustainable success in a competitive digital age, it might be time to jump on the statistical bandwagon, so to speak. “Data is what you need to do analytics.

Business Intelligence 117

Business Intelligence Business Intelligence Big Data Data Mining 117

BizAcuity

APRIL 14, 2022

Big Data technology in today’s world. Did you know that the big data and business analytics market is valued at $198.08 Or that the US economy loses up to $3 trillion per year due to poor data quality? quintillion bytes of data which means an average person generates over 1.5 Poor data quality.

Big Data 130

Big Data Data Analytics Data Analytics Data Management 130

Astera

JANUARY 23, 2023

Since traditional management systems cannot cope with the massive volumes of digital data, the healthcare industry is investing in modern data management solutions to enable accurate reporting and business intelligence (BI) initiatives. What is Health Data Management ? to analyze data.

Data Management 52

Data Management IBM Maintenance Healthcare IBM cost 52

Astera

DECEMBER 21, 2022

In simple terms, data extraction is the process of extracting and gathering data from semi-structured and unstructured sources, such as emails, PDF documents, PDF forms, text files, social media, barcodes, and images. How is unstructured data extraction done? Enhanced Data Quality.

Data Mining 52

Data Mining Documentation Data Quality Data Warehouse 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

Astera

AUGUST 8, 2023

What matters is how accurate, complete and reliable that data. Data quality is not just a minor detail; it is the foundation upon which organizations make informed decisions, formulate effective strategies, and gain a competitive edge. to help clean, transform, and integrate your data.

Data Quality 52

Data Quality IBM Support IBM Maintenance Monitoring 52

Astera

NOVEMBER 14, 2023

And consequently, having a constantly evolving architecture means you will have access to accurate, up-to-date data to fuel your analytics, allowing teams and departments to meet their respective goals. Perhaps, the real value of this approach is seen in the business benefits organizations can yield with its implementation.

Data Warehouse 52

Data Warehouse Agile Data Modelling Data Quality 52

ElegantJ BI

JULY 5, 2015

To defeat data overload and manage those mountains of data, you need smart aggregation and consolidation of relevant data encompassing appropriate contextual information over a relevant period. Just providing data source access ( will you ? Analytics Go Beyond Visual Charts.

Monitoring 130

Monitoring Visualization Data Quality Data Analytics 130

ElegantJ BI

JULY 5, 2015

To defeat data overload and manage those mountains of data, you need smart aggregation and consolidation of relevant data encompassing appropriate contextual information over a relevant period. Just providing data source access ( will you ?

Monitoring 130

Monitoring Visualization Data Quality Data Analytics 130

ElegantJ BI

JULY 5, 2015

To defeat data overload and manage those mountains of data, you need smart aggregation and consolidation of relevant data encompassing appropriate contextual information over a relevant period. Just providing data source access ( will you ?

Monitoring 130

Monitoring Visualization Data Quality Data Analytics 130

Data Pine

JANUARY 21, 2020

Spreadsheets no longer provide adequate solutions for a serious company looking to accurately analyze and utilize all the business information gathered. That’s where business intelligence reporting comes into play – and, indeed, is proving pivotal in empowering organizations to collect data effectively and transform insight into action.

Business Intelligence 103

Business Intelligence Business Intelligence Procurement Artificial Intelligence 103

Smart Data Collective

JULY 9, 2023

ETL (Extract, Transform, Load) is a crucial process in the world of data analytics and business intelligence. In this article, we will explore the significance of ETL and how it plays a vital role in enabling effective decision making within businesses.

Data Warehouse 213

Data Warehouse Data Quality Data Analytics Data Analytics 213

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! Programming and statistics are two fundamental technical skills for data analysts, as well as data wrangling and data visualization.

Chief Data Officer 97

Chief Data Officer Finance Data Modelling Visualization 97

Marutitech

JANUARY 21, 2022

Data science management has become an essential element for companies that want to gain a competitive advantage. The role of data science management is to put the data analytics process into a strategic context so that companies can harness the power of their data while working on their data science project.

Project Management 113

Project Management Data Mining Data Analytics Data Analytics 113

Business Analysis Knowledge Share

MARCH 15, 2023

Let’s understand what a Data warehouse is and talk through some key concepts Datawarehouse Concepts for Business Analysis Data warehousing is a process of collecting, storing and managing data from various sources to support business decision making. What is Data Warehousing?

Big Data 52

Big Data Data Analytics Data Analytics Data Warehouse 52

Data Pine

AUGUST 29, 2022

The saying “knowledge is power” has never been more relevant, thanks to the widespread commercial use of big data and data analytics. The rate at which data is generated has increased exponentially in recent years. Essential Big Data And Data Analytics Insights. million searches per day and 1.2

Big Data 105

Big Data Data Analytics Data Analytics IBM Maintenance 105

Data Pine

AUGUST 21, 2019

Another undeniable insight into the power of using a sales report chart to boost business efficiency. 98% of sales representatives in the construction sector that have adopted data analytics as a part of their day-to-day strategy reported dramatic reductions in their timeframe for providing price quotes to new as well as existing prospects.

Visualization 94

Visualization Big Data Data Visualization Data Analytics 94

Dataversity

JUNE 28, 2021

Humans process visual data far more quickly and effectively than other ways of presenting information. The need for visual data, which speaks for thousands of words, has sparked the emergence of interactive dashboards. This tool has become a go-to solution for enabling people in business environments to […].

Visualization 130

Visualization Data Quality Data Governance Data Visualization 130

The Data Administration Newsletter

NOVEMBER 14, 2023

Trust is defined as the assured reliance or belief on the character, ability, strength, or truth of someone or something (Webster’s Dictionary). It’s a term we use often to describe how we feel about the people, the institutions, and the things around us. But I would argue that the term “trust” was used differently […]

Data Quality 59

Data Quality Data Governance Government Data Management 59

Smart Data Collective

SEPTEMBER 26, 2021

There’s not much value in holding on to raw data without putting it to good use, yet as the cost of storage continues to decrease, organizations find it useful to collect raw data for additional processing. The raw data can be fed into a database or data warehouse. It improves the data quality and system effectiveness.

Documentation 245

Documentation Data Visualization Data Mining Data Warehouse 245

Astera

APRIL 24, 2024

Data Uniformity: Using data ingestion tools enables the extraction of information and converting it into a unified dataset. Organizations can use this information for business intelligence, reports, and analytics. They help you set up a strong ingestion pipeline for managing data, saving time and effort.

Data Warehouse 52

Data Warehouse Real-time Data Documentation Data Quality 52

ElegantJ BI

SEPTEMBER 6, 2019

SSDP (otherwise known as self-serve data preparation) is the logical evolution of business intelligence analytical tools. With self-serve tools, data discovery and analytics tools are accessible to team members and business users across the enterprise. What is SSDP?

Data Discovery 130

Data Discovery Business Intelligence Business Intelligence Government 130

ElegantJ BI

SEPTEMBER 6, 2019

SSDP (otherwise known as self-serve data preparation) is the logical evolution of business intelligence analytical tools. With self-serve tools, data discovery and analytics tools are accessible to team members and business users across the enterprise. What is SSDP?

Data Discovery 130

Data Discovery Business Intelligence Business Intelligence Government 130

ElegantJ BI

SEPTEMBER 6, 2019

SSDP (otherwise known as self-serve data preparation) is the logical evolution of business intelligence analytical tools. With self-serve tools, data discovery and analytics tools are accessible to team members and business users across the enterprise. Self-Serve Data Prep in Action.

Data Discovery 130

Data Discovery Business Intelligence Business Intelligence Government 130

Astera

APRIL 7, 2023

A robust data warehouse architecture does everything in data management—including ETL (extraction, transformation, loading)—while ensuring data quality, consistency, speedy retrieval, and enhanced security at all times. Improving Data Quality and Consistency Quality is essential in the realm of data management.

Data Warehouse 52

Data Warehouse Healthcare Data Management Data Quality 52

Astera

OCTOBER 27, 2023

Simply put, a cloud data warehouse is a data warehouse that exists in the cloud environment, capable of combining exabytes of data from multiple sources. Cloud data warehouses are designed to handle complex queries and are optimized for business intelligence (BI) and analytics.

Data Warehouse 52

Data Warehouse Data Quality Big Data Predictive Analytics 52

Astera

SEPTEMBER 28, 2023

It’s one of many ways organizations integrate their data for business intelligence (BI) and various other needs, such as storage, data analytics, machine learning (ML) , etc. ETL provides organizations with a  single source of truth  (SSOT) necessary for accurate data analysis. What is ETL?

Data Warehouse 52

Data Warehouse Data Quality E-Commerce Real-time Data 52

The BAWorld

NOVEMBER 26, 2021

Open-minded exploration of data will provide valuable information. Anyone working with data from researchers, analysts, business intelligence professionals, and others will spend most of their time on EDA by following exploratory data analysis steps. Get insights into the data summary. Business Goal.

Data Mining 52

Data Mining Data Quality Visualization Planning 52

ElegantJ BI

MARCH 7, 2018

Self-Serve Data Preparation Takes the Headache Out of Data Analytics! Self-Serve Data Preparation (aka augmented data preparation) is all about efficiency and the presentation of sophisticated data preparation tools in an easy-to-use environment. Self-Serve Data Preparation is within your reach.

Government 130

Government Data Governance Data Quality Data Analytics 130