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 120

Data Warehouse Analytics Data Lake Machine Learning 120

CIO Business Intelligence

OCTOBER 26, 2023

Business intelligence analyst job requirements BI analysts typically handle analysis and data modeling design using data collected in a centralized data warehouse or multiple databases throughout the organization.

Business Intelligence 126

Business Intelligence Data-driven Statistics Data Warehouse 126

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 97

Data Warehouse Dashboards Optimization Interactive 97

datapine

NOVEMBER 11, 2021

For a few years now, Business Intelligence (BI) has helped companies to collect, analyze, monitor, and present their data in an efficient way to extract actionable insights that will ensure sustainable growth. billion , paired with the fact that 33% of large-sized businesses will practice decision intelligence by 2023.

Business Intelligence 213

Business Intelligence Dashboards Interactive Visualization 213

Cloudera

OCTOBER 4, 2023

Fast moving data and real time analysis present us with some amazing opportunities. Every organization has some data that happens in real time, whether it is understanding what our users are doing on our websites or watching our systems and equipment as they perform mission critical tasks for us. Don’t blink — or you’ll miss it!

Data Warehouse 89

Data Warehouse Experimentation Cost-Benefit Dashboards 89

Sisense

JUNE 26, 2019

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. You need to find the right data sets, clean them up, and test out interoperability. Fast forward to Big Data. The Right One.

Enterprise 75

Enterprise Data Warehouse Dashboards Modeling 75

O'Reilly on Data

SEPTEMBER 11, 2019

Our call for speakers for Strata NY 2019 solicited contributions on the themes of data science and ML; data engineering and architecture; streaming and the Internet of Things (IoT); business analytics and data visualization; and automation, security, and data privacy. Data engineering comes into its own.

IoT 24

IoT Big Data Data Warehouse Uncertainty 24

Jet Global

JULY 11, 2019

We’ll explain what it is, how it works, and ways to start using demand forecasting with business intelligence software. Demand forecasting is an area of predictive analytics best known for understanding consumer demand for goods and services. Using Demand Forecasting with Business Intelligence. Demand forecasting relies on data.

Business Intelligence 72

Business Intelligence Forecasting Predictive Analytics Data Warehouse 72

Jet Global

JANUARY 17, 2019

Instead of an environment riddled with inaccuracies to base your analytics on, you need to be confident that your data is correct. This is where Master Data Management (MDM) comes into play. MDM is a highly recommended approach to preparing your data for BI and analytics. How MDM Can Prepare Your Data for BI.

Business Intelligence 75

Business Intelligence Management Data Warehouse Data Governance 75

Cloudera

DECEMBER 21, 2020

Company data exists in the data lake. Data Catalog profilers have been run on existing databases in the Data Lake. A Cloudera Data Warehouse virtual warehouse with Cloudera Data Visualisation enabled exists. A Cloudera Data Engineering service exists. The Data Scientist.

Dashboards 97

Dashboards Visualization Data Warehouse Data Lake 97

Sisense

APRIL 26, 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. Structured vs unstructured data.

Unstructured Data 52

Unstructured Data Data Warehouse Structured Data Data mining 52

Jet Global

FEBRUARY 5, 2019

But data has become increasingly complex, with high volumes from different sources spanning across multiple geographic regions. While we’ve seen a rise in technology investment that manages business processes and gathers data, it has greatly exceeded the time and resources put towards data management and governance.

Data Warehouse 69

Data Warehouse Data Quality Business Intelligence Data Governance 69

Cloudera

APRIL 12, 2021

As Cussatt put it, “data transformation isn’t about the IT, but about enabling the mission to be able to serve the veterans.” The result: A more reliable and modern IT environment that improves access, availability, and user experience -ultimately supporting the VA mission more effectively.

Enterprise 53

Enterprise IT Digital Transformation Data Warehouse 53

Occam's Razor

MARCH 10, 2015

But, if you reflect upon the developments in analytics over the last couple of years it is incredible to see that we, web analytics, have moved so quickly towards the aforementioned outcome. In fact, even the term digital analytics is too stifling. So, in our world, web analytics, what is helping us embrace to this change?

Strategy 153

Strategy Analytics Measurement Business Analysis 153

Peter James Thomas

AUGUST 18, 2018

No this article has not escaped from my Maths & Science section , it is actually about data matters. That was the Science, here comes the Technology… A Brief Hydrology of Data Lakes. Over time, it became clear that it would be useful to also have some merged / conformed and cleansed data structures in the Data Lake.

Data Lake 63

Data Lake Data Warehouse Data mining Statistics 63

Jet Global

MAY 1, 2020

Starting a BI project with this mindset implies that the initiative is sponsored by IT and is generally led from a technical or a data-centric perspective. The problem with this is that it is being led by IT, not by the business. The mechanical solution is to build a data warehouse. So, we feel validated. View Guide Now.

Data Warehouse 64

Data Warehouse Data Quality Risk Reporting 64

FineReport

NOVEMBER 25, 2020

With the advent of modern dashboard reporting tools, you can conveniently visualize your data into dashboards and reports and extract insightful information from it. Hope you can find the most suitable one for your business. Instead, data is drawn from a centralized source and displayed as an easy to interpret visual overview.

Dashboards 98

Dashboards Reporting Visualization Snapshot 98

Smarten

DECEMBER 7, 2017

Self-Serve Data Preparation is the next generation of business analytics and business intelligence. Self-serve data preparation makes advanced data discovery accessible to team members and business users no matter their skills or technical knowledge. What is Self-Serve Data Preparation?

IT 40

IT Testing Data Warehouse ROI 40

Occam's Razor

DECEMBER 3, 2008

You might also be the one man army tapped to do rapid prototyping to prove you are better than Google Analytics (!), Michael is not his real name. Modesty aside, :), Michael is good at what he does. I get many emails in the spirit of this one and thought it was about time I wrote a proper post about it. Controller of my destiny.

Analytics 115

Analytics Consulting Metrics Reporting 115

IBM Big Data Hub

OCTOBER 27, 2022

When Newcomp Analytics started working with chocolatier Lindt Canada more than 15 years ago to support their supply chain, Lindt had no full-time IT personnel for analytics. Lindt now has a team of 10, including a business intelligence (BI) manager and BI developer analysts.

Slice and Dice 52

Slice and Dice Analytics Sales Business Analytics 52

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 76

Data Science Data Analytics Prescriptive Analytics Analytics 76

Sisense

MAY 28, 2020

This data flows into cloud-native warehouses where data teams manipulate it, allowing analysts to derive vital insights from it, and product teams embed those insights into products. Data is the bedrock on which the future of business is being built. Chandana Gopal, Business Analytics Research Director, IDC.

Internet of Things 83

Internet of Things Metadata Data-driven Unstructured Data 83

Jet Global

OCTOBER 1, 2019

We’ll explain what it is, how it works, and ways to start using demand forecasting with business intelligence software. Demand forecasting is an area of predictive analytics best known for understanding consumer demand for goods and services. Using Demand Forecasting with Business Intelligence. Demand forecasting relies on data.

Business Intelligence 40

Business Intelligence Forecasting Predictive Analytics Data Warehouse 40

Cloudera

MAY 12, 2021

2020 saw us hosting our first ever fully digital Data Impact Awards ceremony, and it certainly was one of the highlights of our year. We saw a record number of entries and incredible examples of how customers were using Cloudera’s platform and services to unlock the power of data. SECURITY AND GOVERNANCE LEADERSHIP.

Digital Transformation 70

Digital Transformation Machine Learning Optimization Data Lake 70

Jet Global

OCTOBER 22, 2020

The world of business analytics is evolving rapidly. The size and scope of business databases have grown as ERP functionality has evolved, businesses have increased their adoption of CRM and marketing automation, and collaboration networks have become more common. OLAP Cubes vs. Tabular Models.

Modeling 52

Modeling OLAP Reporting Sales 52

Domino Data Lab

JULY 22, 2019

There’s a really nice comfortable blend here of what’s important in business, in engineering, in data science, etc. Back in 1962, he wrote a paper called “ The Future of Data Analysis.” The idea of being able to use machines to crunch data that was still relatively new. I really appreciate it.

Data Science 109

Data Science Machine Learning Data Governance Modeling 109

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 Big Data Ecosystem.

Big Data 52

Big Data Data Analytics Management Unstructured Data 52

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 Metrics Cost-Benefit 40

Peter James Thomas

MAY 3, 2019

As part of my consulting business , I end up thinking about Data Capability Frameworks quite a bit. Sometimes this is when I am assessing current Data Capabilities, sometimes it is when I am thinking about how to transition to future Data Capabilities. Control of Data to ensure it is Fit-for-Purpose.

Strategy 55

Strategy Data Architecture Data Quality Data Strategy 55

IBM Big Data Hub

AUGUST 28, 2023

It’s no wonder then that Macmillan needs sophisticated business intelligence (BI) and data analytics. For more than 10 years, the publisher has used IBM Cognos Analytics to wrangle its internal and external operational reporting needs. This contributed to the need for more analytics by our users.

Publishing 50

Publishing Analytics Business Intelligence Operational Reporting 50

AWS Big Data

NOVEMBER 1, 2023

Amazon Redshift is a fully managed, petabyte scale cloud data warehouse that enables you to analyze large datasets using standard SQL. Data warehouse workloads are increasingly being used with mission-critical analytics applications that require the highest levels of resilience and availability.

Data Warehouse 105

Data Warehouse Snapshot Testing Management 105

datapine

AUGUST 29, 2022

Unlike other publications on this list, “Everybody Lies” is not a book that covers the technical aspect of big data in its entirety. Instead, it provides a social perspective of the topic by analyzing what Google search data can tell us about human behavior. . – Steven Pinker, author of The Better Angels of our Nature.

Big Data 263

Big Data Data Analytics Analytics Data mining 263

CIO Business Intelligence

DECEMBER 11, 2024

A similar transformation has occurred with data. More than 20 years ago, data within organizations was like scattered rocks on early Earth. It was not alive because the business knowledge required to turn data into value was confined to individuals minds, Excel sheets or lost in analog signals.

Management 111

Management Data Governance Data Science Reporting 111

datapine

FEBRUARY 22, 2022

In response to this increasing need for data analytics, business intelligence software has flooded the market. Whether you are starting from scratch, moving past spreadsheets, or looking to migrate to a new platform: you need a business intelligence strategy and roadmap in place. Investing in BI shouldn’t be taken lately.

Business Intelligence 218

Business Intelligence Strategy Cost-Benefit Dashboards 218

Cloudera

FEBRUARY 22, 2021

The Cloudera Data Platform (CDP) represents a paradigm shift in modern data architecture by addressing all existing and future analytical needs. Accelerating business value is always specific to the industry and client context. Technology cost reduction / avoidance. query failures, cost overruns).

Cost-Benefit 82

Cost-Benefit Data Warehouse Data Processing Data Governance 82

IBM Big Data Hub

AUGUST 4, 2023

Data democratization, much like the term digital transformation five years ago, has become a popular buzzword throughout organizations, from IT departments to the C-suite. It’s often described as a way to simply increase data access, but the transition is about far more than that.

Data Architecture 59

Data Architecture Data Lake Machine Learning Data Governance 59

Andrew White

MARCH 22, 2019

I have blogged before (see this from 2014: A Day in the Life of an Analyst” at Gartner’s IT/Expo Symposium – Day 3 ) about the hot topics I discussed with attendees at our Symposia and data and analytics conferences. Data and analytics (and maybe AI) are getting very tired terms. Age maybe against us.

Analytics 68

Analytics Metadata Data Governance Management 68