IBM Big Data Hub

SEPTEMBER 19, 2023

Though you may encounter the terms “data science” and “data analytics” being used interchangeably in conversations or online, they refer to two distinctly different concepts. Meanwhile, data analytics is the act of examining datasets to extract value and find answers to specific questions.

Data Science 84

Data Science Data Analytics Prescriptive Analytics Analytics 84

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

FineReport

JULY 28, 2021

Definition: BI vs Data Science vs Data Analytics. Business Intelligence describes the process of using modern data warehouse technology, data analysis and processing technology, data mining, and data display technology for visualizing, analyzing data, and delivering insightful information.

Business Intelligence 98

Business Intelligence Data Science Data Analytics Analytics 98

Sisense

APRIL 17, 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. Why use a materialized view?

Data Warehouse 90

Data Warehouse Visualization Statistics Machine Learning 90

FineReport

MAY 6, 2020

Prinsip database: model data, desain database. Analisis prediktif: analisis axis waktu, principal component analysis, nonparametric regression, statistical process control. Manajemen data: ETL (Extract, Transform, Load), pengelolaan data, management responsibility, metadata. Data Warehouse.

Data mining 98

Data mining Data Warehouse Machine Learning Big Data 98

CIO Business Intelligence

AUGUST 9, 2022

Data engineers are often responsible for building algorithms for accessing raw data, but to do this, they need to understand a company’s or client’s objectives, as aligning data strategies with business goals is important, especially when large and complex datasets and databases are involved. Data engineer job description.

Analytics 120

Analytics Data Science Statistics Unstructured Data 120

BizAcuity

MAY 16, 2022

He went on to be the head brewer of Guinness and we thank him for not just great hand-crafted beers but subsequent research breakthroughs in statistical research as well. Data allowed Guinness to hold their market dominance for long. Data mining. Data mining allows refining and analyzing of the data on a near-real time basis.

Business Intelligence 52

Business Intelligence Data mining Visualization Data Lake 52

datapine

SEPTEMBER 29, 2022

With quality data at their disposal, organizations can form data warehouses for the purposes of examining trends and establishing future-facing strategies. Industry-wide, the positive ROI on quality data is well understood. Business/Data Analyst: The business analyst is all about the “meat and potatoes” of the business.

Data Quality 241

Data Quality Metrics Data-driven Management 241

FineReport

FEBRUARY 28, 2020

Enterprise reporting is a process of extracting, processing, organizing, analyzing, and displaying data in the companies. It uses enterprise reporting tools to organize data into charts, tables, widgets, or other visualizations. The central one is the data visualization technology at the display level.

Reporting 96

Reporting Enterprise Visualization Business Intelligence 96

Sisense

MAY 27, 2019

They take the raw data and polish it into valuable insights that fit your business and meet your specific needs. The data scientist is mostly focused on the relationships of the data within an organization’s database. They use their skills to compare data, and perform statistical analyses on the data, which provide insights.

Statistics 75

Statistics Machine Learning Visualization Big Data 75

Birst BI

NOVEMBER 20, 2018

Business Intelligence tools support this iterative process: data may be available or made available in a data warehouse, and its Analytics tools such as charts, reports, and dashboards provide the visual support for the business discussions. Finally, Business Intelligence tools visualize the results to end-users.

Statistics 84

Statistics Machine Learning Deep Learning Optimization 84

FineReport

APRIL 11, 2023

With the advent of Business Intelligence Dashboard (BI Dashboard), access to information is no longer limited to IT departments. Every user can now create interactive reports and utilize data visualization to disseminate knowledge to both internal and external stakeholders.

Dashboards 40

Dashboards Business Intelligence Cost-Benefit Metrics 40

datapine

MAY 29, 2019

BI architecture has emerged to meet those requirements, with data warehousing as the backbone of these processes. One of the BI architecture components is data warehousing. Each of that component has its own purpose that we will discuss in more detail while concentrating on data warehousing. Data integration.

Business Intelligence 196

Business Intelligence Data Warehouse Dashboards Visualization 196

Birst BI

OCTOBER 30, 2018

To generate accurate probabilities of future behavior, predictive analytics combine historical data from any number of applications with statistical algorithms. This may involve integrating different technologies, like cloud sources, on-premise databases, data warehouses and even spreadsheets.

Predictive Analytics 73

Predictive Analytics Descriptive Analytics Analytics Metrics 73

Sisense

JUNE 30, 2020

In a world increasingly dominated by data, users of all kinds are gathering, managing, visualizing, and analyzing data in a wide variety of ways. One of the downsides of the role that data now plays in the modern business world is that users can be overloaded with jargon and tech-speak, which can be overwhelming.

Visualization 93

Visualization Analytics Dashboards Data-driven 93

AWS Big Data

OCTOBER 18, 2023

Amazon Redshift is a fast, fully managed, petabyte-scale data warehouse that provides the flexibility to use provisioned or serverless compute for your analytical workloads. You don’t need to worry about workloads such as ETL (extract, transform, and load), dashboards, ad-hoc queries, and so on interfering with each other.

Analytics 95

Analytics Data Warehouse Testing Dashboards 95

CIO Business Intelligence

OCTOBER 7, 2022

BI analysts, with an average salary of $71,493 according to PayScale , provide application analysis and data modeling design for centralized data warehouses and extract data from databases and data warehouses for reporting, among other tasks. BI encompasses numerous roles. Organization: Microsoft.

Business Intelligence 145

Business Intelligence Data Warehouse Visualization Dashboards 145

Occam's Razor

APRIL 4, 2011

So here I what I actually said: If you see a data puke then you know you are looking at the result of web reporting, even if it is called a dashboard. If you see words in English outlining actions that need to be taken, and below the fold you see relevant supporting data, then you are looking at the result of web data analysis.

Reporting 127

Reporting Metrics Dashboards Statistics 127

CIO Business Intelligence

JANUARY 20, 2023

BI tools access and analyze data sets and present analytical findings in reports, summaries, dashboards, graphs, charts, and maps to provide users with detailed intelligence about the state of the business. Business intelligence examples Reporting is a central facet of BI and the dashboard is perhaps the archetypical BI tool.

Business Intelligence 138

Business Intelligence Dashboards Data mining OLAP 138

AWS Big Data

NOVEMBER 29, 2023

In 2013, Amazon Web Services revolutionized the data warehousing industry by launching Amazon Redshift , the first fully-managed, petabyte-scale, enterprise-grade cloud data warehouse. Amazon Redshift made it simple and cost-effective to efficiently analyze large volumes of data using existing business intelligence tools.

Data Warehouse 100

Data Warehouse Data Lake Analytics Machine Learning 100

Cloudera

NOVEMBER 25, 2020

How can he make it easy to see statistics, and do calculations, on discovered commonalities, across structured and unstructured data? How can users drill down, in non-technical ways, to quickly interact with data that explains what correlations seem to matter? The Vision of a Discovery Data Warehouse.

Data Warehouse 57

Data Warehouse Unstructured Data Analytics Visualization 57

Sisense

DECEMBER 3, 2019

The rapid growth of data volumes has effectively outstripped our ability to process and analyze it. The first wave of digital transformations saw a dramatic decrease in data storage costs. On-demand compute resources and MPP cloud data warehouses emerged. Optimize raw data using materialized views.

Data Warehouse 90

Data Warehouse Analytics Digital Transformation Forecasting 90

Cloudera

NOVEMBER 2, 2020

Users today are asking ever more from their data warehouse. As an example of this, in this post we look at Real Time Data Warehousing (RTDW), which is a category of use cases customers are building on Cloudera and which is becoming more and more common amongst our customers. Ingest 100s of TB of network event data per day .

Data Warehouse 91

Data Warehouse Optimization Dashboards Interactive 91

Sisense

AUGUST 22, 2019

These are full-fledged languages used for advanced statistical analysis and modeling, and learning to harness them will enable you to grow your business far faster and more efficiently. Data visualization should be easy and flexible, allowing the analyst to explore their data at the speed of thought. .

Analytics 73

Analytics Business Intelligence Visualization Predictive Analytics 73

Sisense

JUNE 26, 2019

For an enterprise company , that can mean building and maintaining data pipelines or optimizing database queries and anything in between. If you are a data engineer, then you know that data is your most valuable asset. The aged statistic still stands that 80% of your time will be spent preparing and optimizing data.

Enterprise 75

Enterprise Data Warehouse Dashboards Modeling 75

datapine

AUGUST 29, 2022

And with that understanding, you’ll be able to tap into the potential of data analysis to create strategic advantages, exploit your metrics to shape them into stunning business dashboards , and identify new opportunities or at least participate in the process. Your Chance: Want to put your big data knowledge to use?

Big Data 263

Big Data Data Analytics Analytics Data mining 263

IBM Big Data Hub

MARCH 25, 2022

The customer also attempted to run it in a data warehouse, which wasn’t good at low latency streaming data ingestion and low latency query support. SingleStore can store data in blob storage without negatively impacting point read/write query performance like cloud data warehouses.

Data-driven 75

Data-driven Data Warehouse Data Processing Marketing 75

FineReport

APRIL 3, 2024

In today’s data-driven landscape, businesses are leaning more on BI tools , particularly BI dashboard solutions, to enhance decision-making through data visualization. These BI Dashboard tools blend advanced analytics with user-friendly interfaces, revealing invaluable insights.

Dashboards 52

Dashboards Visualization Metrics Interactive 52

Andrew White

JANUARY 11, 2021

As such any Data and Analytics strategy needs to incorporate data sovereignty as per of its D&A governance program. Coding skills – SQL, Python or application familiarity – ETL & visualization? See recorded webinars: Emerging Practices for a Data-driven Strategy. Link Data to Business Outcomes.

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52

Jet Global

MAY 1, 2023

We rely on increasingly mobile technology to comb through massive amounts of data and solve high-value problems. Plus, there is an expectation that tools be visually appealing to boot. They have mastered the art of displaying data in an intuitive way while at the same time driving effortless transactions in their products.

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52

Jet Global

MAY 9, 2024

The key components of a data pipeline are typically: Data Sources : The origin of the data, such as a relational database , data warehouse, data lake , file, API, or other data store. This can include tasks such as data ingestion, cleansing, filtering, aggregation, or standardization.

Data Lake 52

Data Lake Data Warehouse Business Intelligence Machine Learning 52

Jet Global

JUNE 22, 2023

Both of these are predictive statistical tools. The Definitive Guide to Predictive Analytics Download Now Statistical Nesting Dolls So we know it’s not safe to assume that business intelligence and business analytics refer to different analytic modes. Think Google Analytics.

Analytics 52

Analytics Business Intelligence Reporting Sales 52

Jet Global

DECEMBER 22, 2021

Executive dashboards help key business decision-makers stay focused on those “big rocks.” The concept of executive dashboards has become increasingly popular in recent years, as technology has made it possible to collect more data, then to analyze and summarize it in ways that vividly conveys what’s happening in the business in real time.

Dashboards 52

Dashboards Key Performance Indicator Reporting Recreation/Entertainment 52

Jet Global

JANUARY 19, 2024

It allows organizations to integrate business-level AI, interactive data visualizations, dashboards, and reports, thereby enriching the value and engagement of every application. With this enhancement, you can confidently embed dashboards, knowing they will provide an inclusive and accessible experience for all users.

Analytics 52

Analytics Dashboards Visualization Data-driven 52

Jet Global

NOVEMBER 2, 2021

How to Build Useful KPI Dashboards. Those without KPIs are left without any valuable statistics, while those with established performance tracking dashboards are able to make data driven decisions. Location Rates: It is very interesting to visualize where all your students are coming from. Download Now.

Metrics 52

Metrics Reporting KPI Key Performance Indicator 52

BI-Survey

FEBRUARY 7, 2022

Creating all reports in a single tool and storing all data in a common data warehouse was meant to boost efficiency. Instead of curbing expenditure, horizontal integration curbed the innovative capacity of companies to use their data. Appreciate the potential of integrated software with exhaustive metadata collection.

Analytics 52

Analytics Cost-Benefit Metadata Software 52