FineReport

MARCH 24, 2024

Data analysts contribute value to organizations by uncovering trends, patterns, and insights through data gathering, cleaning, and statistical analysis. They identify and interpret trends in complex datasets, optimize statistical results, and maintain databases while devising new data collection processes.

Statistics 52

Statistics Data mining Visualization Reporting 52

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

erwin

APRIL 29, 2020

These tools range from enterprise service bus (ESB) products, data integration tools; extract, transform and load (ETL) tools, procedural code, application program interfaces (API)s, file transfer protocol (FTP) processes, and even business intelligence (BI) reports that further aggregate and transform data. Data Quality.

Metadata 111

Metadata Data Governance Key Performance Indicator Data Quality 111

DataKitchen

JANUARY 19, 2022

The Matillion data integration and transformation platform enables enterprises to perform advanced analytics and business intelligence using cross-cloud platform-as-a-service offerings such as Snowflake. DataOps recommends that tests monitor data continuously in addition to checks performed when pipelines are run on demand.

Testing 130

Testing Data Integration Data Warehouse Enterprise 130

Sisense

JANUARY 14, 2021

Users open their dashboards expecting every chart to be fully functional and accurate; if they encounter a broken chart, distrust of the dashboard or the underlying data is a natural reaction. The Billie BI team has decided to share the code for their testing project to help other data teams using Sisense for Cloud Data Teams. “We

Dashboards 85

Dashboards Testing Business Intelligence Interactive 85

Sisense

SEPTEMBER 3, 2020

Data scientists usually build models for data-driven decisions asking challenging questions that only complex calculations can try to answer and creating new solutions where necessary. Programming and statistics are two fundamental technical skills for data analysts, as well as data wrangling and data visualization.

Statistics 97

Statistics Metrics Visualization Finance 97

Alation

MAY 24, 2022

generally available on May 24, Alation introduces the Open Data Quality Initiative for the modern data stack, giving customers the freedom to choose the data quality vendor that’s best for them with the added confidence that those tools will integrate seamlessly with Alation’s Data Catalog and Data Governance application.

Data Quality 98

Data Quality Data Governance Metadata Metrics 98

CIO Business Intelligence

OCTOBER 24, 2023

It also mixes those inputs into a statistically probable new one, which is where hallucinations can occur. With RAG, you can limit the dataset the model searches, meaning the model hopefully won’t be drawing on inaccurate data. One of the most important laws of training an AI model is that data quality matters.

Cost-Benefit 126

Cost-Benefit Modeling Data Quality Statistics 126

CIO Business Intelligence

AUGUST 9, 2022

According to data from PayScale , the following data engineering skills are associated with a significant boost in reported salaries: Ruby: +32% Oracle: +26% MapReduce: +26% JavaScript: +24% Amazon Redshift: +21% Apache Cassandra: +18% Apache Sqoop: +12% Data Quality: +11% Apache HBase: +10% Statistical Analysis: +10% Data engineer certifications.

Analytics 131

Analytics Data Science Statistics Unstructured Data 131

CIO Business Intelligence

APRIL 25, 2022

An education in data science can help you land a job as a data analyst , data engineer , data architect , or data scientist. The course includes instruction in statistics, machine learning, natural language processing, deep learning, Python, and R. On-site courses are available in Munich.

Data Science 145

Data Science Machine Learning Deep Learning Statistics 145

CIO Business Intelligence

JANUARY 9, 2024

Can the current state of our data operations deliver the results we seek? Another tough topic that CIOs are having to surface to their colleagues: how problems with enterprise data quality stymie their AI ambitions. 1 among the top three risks — followed by statistical validity and model accuracy.

IT 140

IT Risk Cost-Benefit Enterprise 140

TDAN

JUNE 1, 2021

Data is critical for any business as it helps them make decisions based on trends, statistical numbers and facts. Due to this importance of data, data science as a multi-disciplinary field developed. These days, data science is the […].

Data Science 85

Data Science Statistics IT Data Quality 85

CIO Business Intelligence

JUNE 14, 2023

Certification of Professional Achievement in Data Sciences The Certification of Professional Achievement in Data Sciences is a nondegree program intended to develop facility with foundational data science skills. They know how to assess data quality and understand data security, including row-level security and data sensitivity.

Big Data 126

Big Data Data Analytics Analytics Predictive Modeling 126

Jet Global

JULY 11, 2019

One of those areas is called predictive analytics, where companies extract information from existing data to determine buying patterns and forecast future trends. By using a combination of data, statistical algorithms, and machine learning techniques, predictive analytics identifies the likelihood of future outcomes based on the past.

Business Intelligence 72

Business Intelligence Forecasting Data Warehouse Predictive Analytics 72

Smarten

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. Don’t become a failure statistic! Requirements Planning for Data Analytics.

Analytics 40

Analytics Statistics Data Governance Cost-Benefit 40

Peter James Thomas

AUGUST 18, 2018

From 2000 to 2015, I had some success [5] with designing and implementing Data Warehouse architectures much like the following: As a lot of my work then was in Insurance or related fields, the Analytical Repositories tended to be Actuarial Databases and / or Exposure Management Databases, developed in collaboration with such teams.

Data Lake 63

Data Lake Data Warehouse Data mining Statistics 63

DataKitchen

MAY 10, 2021

Figure 1: The process of transforming raw data into actionable business intelligence is a manufacturing process. When something goes wrong, you need to know about it as it’s happening to ensure that errors don’t reach customers or business partners. It’s not about data quality . Data Quality.

Testing 214

Testing Manufacturing Data Quality Statistics 214

Jet Global

OCTOBER 1, 2019

One of those areas is called predictive analytics, where companies extract information from existing data to determine buying patterns and forecast future trends. By using a combination of data, statistical algorithms, and machine learning techniques, predictive analytics identifies the likelihood of future outcomes based on the past.

Business Intelligence 40

Business Intelligence Forecasting Data Warehouse Predictive Analytics 40

AWS Big Data

JULY 13, 2023

This post discusses the journey that took Altron from their initial goals, to technical implementation, to the business value created from understanding their customers and their unique opportunities better. Data quality for account and customer data – Altron wanted to enable data quality and data governance best practices.

Optimization 90

Optimization B2B Data Quality Sales 90

Alation

JULY 19, 2022

The catalog facilitates the synergy of the domain experts’ subject matter expertise with the data scientists statistical and coding expertise. Finally, a data catalog can help data scientists find answers to their questions (and avoid re-asking questions that have already been answered).

Metadata 59

Metadata Data Quality Statistics Data Science 59

DataKitchen

OCTOBER 11, 2021

Based on business rules, additional data quality tests check the dimensional model after the ETL job completes. While implementing a DataOps solution, we make sure that the pipeline has enough automated tests to ensure data quality and reduce the fear of failure. Data Completeness – check for missing data.

Testing 157

Testing Metadata Dashboards Statistics 157

datapine

DECEMBER 17, 2019

The purpose is not to track every statistic possible, as you risk being drowned in data and losing focus. As the IT department is the lifeblood of any modern organization, this level of agile access to data will increase productivity and increase response times to unforeseen issues or technical problems.

Reporting 173

Reporting IT Key Performance Indicator Dashboards 173

FineReport

JULY 18, 2022

The features you or your company need are core factors influencing your selection of the data analytics tool. For example, if you want the features of data visualization , such as stunning dashboards and rich charts, business intelligence tools are more suitable for you than a pure programming tool. FineRepor t.

Forecasting 52

Forecasting Dashboards Visualization Statistics 52

Peter James Thomas

AUGUST 12, 2018

However, often the biggest stumbling block is a human one, getting people to buy in to the idea that the care and attention they pay to data capture will pay dividends later in the process. These and other areas are covered in greater detail in an older article, Using BI to drive improvements in data quality. million ± £0.5

Metrics 49

Metrics Statistics Data Quality Measurement 49

TDAN

APRIL 14, 2020

To paraphrase a classic movie, Network, “I am as mad as hell and I am not going to take this anymore!” I am wondering if you are too. The news seems to be discouraging, or at least that’s what the cable news programs want you to believe. And when it comes down to it, there […].

IT 71

IT Data Quality Data Governance Business Intelligence 71

CIO Business Intelligence

DECEMBER 22, 2022

Such teams tend to view analytic pipelines as analogous to lean manufacturing lines and regularly reflect on feedback provided by customers, team members, and operational statistics.

Analytics 130

Analytics Machine Learning Software Data Quality 130

datapine

AUGUST 29, 2022

At 156 pages on Kindle, this is a book you could finish in one (long) sitting if you were so inclined, and that you can also use as an inspiration when you work on your business intelligence strategy. 6) Lean Analytics: Use Data to Build a Better Startup Faster, by Alistair Croll and Benjamin Yoskovitz.

Big Data 263

Big Data Data Analytics Analytics Data mining 263

CIO Business Intelligence

JUNE 14, 2022

Better data to power decision making. The mission also sets forward a target of 50% of high-priority data quality issues to be resolved within a period defined by a cross-government framework. Secure, efficient, and sustainable technology. The same bodies are also failing to attract top digital talent.

Strategy 105

Strategy IT Digital Transformation Data Processing 105

Domino Data Lab

JULY 22, 2019

He was saying this doesn’t belong just in statistics. He also really informed a lot of the early thinking about data visualization. It involved a lot of interesting work on something new that was data management. To some extent, academia still struggles a lot with how to stick data science into some sort of discipline.

Data Science 109

Data Science Machine Learning Data Governance Modeling 109

Grooper

AUGUST 19, 2019

Successfully navigating the 20,000+ analytics and business intelligence solutions on the market requires a special approach. Read on to learn how data literacy, information as a second language, and insight-driven analytics take digital strategy to a new level. The benefit of speaking data, a.k.a. Data science skills.

Analytics 54

Analytics Machine Learning Data Science Data-driven 54

CIO Business Intelligence

OCTOBER 18, 2023

“IDH holds a potentially severe immediate risk for patients during dialysis and therefore requires immediate attention from staff,” says Hanjie Zhang, director of computational statistics and artificial intelligence at the Renal Research Institute, a joint venture of Fresenius North America and Beth Israel Medical Center. “As

Predictive Analytics 133

Predictive Analytics Analytics Machine Learning Digital Transformation 133

CIO Business Intelligence

MARCH 14, 2024

The government also has its equivalent of corporate “centers of excellence,” such as the NHS AI Lab for health data applications, a data science campus at the Office of National Statistics, and a number of initiatives supported by the UK Research and Innovation program.

Testing 111

Testing Risk Digital Transformation Statistics 111

Peter James Thomas

SEPTEMBER 19, 2018

The peterjamesthomas.com Data and Analytics Dictionary is an active document and I will continue to issue revised versions of it periodically. Artificial Intelligence Platform. Data Asset. Data Audit. Data Classification. Data Consistency. Data Controls.

Analytics 45

Analytics Testing Data Strategy Data Integration 45

Smarten

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. What is SSDP?

Analytics 51

Analytics IT Business Intelligence Testing 51

BI-Survey

NOVEMBER 24, 2020

In particular, the integration of strategic planning and company-wide operational planning, as well as its integration with analytics and business intelligence (BI), are becoming increasingly important to making comprehensive and well-founded decisions based on data.

Forecasting 94

Forecasting Predictive Modeling Statistics Data-driven 94

Domino Data Lab

JUNE 15, 2021

Existing preprocessing, data ingestion, and data quality processes can be converted from Java/Spark into Java UDFs. Enhanced Business Intelligence capabilities UDFs that do complex processing, aggregation, and transformation can be leveraged by Business Intelligence tools via SQL calls.

Modeling 69

Modeling Data Science Data-driven Data Warehouse 69

datapine

NOVEMBER 27, 2019

Over the past decade, business intelligence has been revolutionized. Data exploded and became big. Spreadsheets finally took a backseat to actionable and insightful data visualizations and interactive business dashboards. The rise of self-service analytics democratized the data product chain.

Business Intelligence 361

Business Intelligence Analytics Prescriptive Analytics Data Quality 361