Cloudera

DECEMBER 19, 2018

Business intelligence (BI), an umbrella term coined in 1989 by Howard Dresner, Chief Research Officer at Dresner Advisory Services, refers to the ability of end-users to access and analyze enterprise data. The most common big data use case is data warehouse optimization.

Data Warehouse 52

Data Warehouse Analytics Big Data Data Architecture 52

IBM Big Data Hub

NOVEMBER 3, 2023

When you make it easier to work with events, other users like analysts and data engineers can start gaining real-time insights and work with datasets when it matters most. As a result, you reduce the skills barrier and increase your speed of data processing by preventing important information from getting stuck in a data warehouse.

Cost-Benefit 78

Cost-Benefit Experimentation Testing Digital Transformation 78

Cloudera

DECEMBER 21, 2020

A Cloudera Data Warehouse virtual warehouse with Cloudera Data Visualisation enabled exists. A Cloudera Data Engineering service exists. The Data Scientist. Our data adventure starts with Shaun, a Data Scientist at a global bank. Model building. Model training .

Dashboards 97

Dashboards Visualization Data Warehouse Data Lake 97

bridgei2i

NOVEMBER 8, 2021

At BRIDGEi2i, we conducted a webinar with esteemed guest – Nicholas Stamp Miller – Senior Director, Global Planning Strategy, Insights & Analytics, Automation Anywhere. A McKinsey research reveals that remote engagements are successful both in selling and prospecting. This is essentially done by: Personalized omnichannel CX.

Enterprise 52

Enterprise B2B Sales Cost-Benefit 52

Cloudera

MAY 17, 2021

In this blog, we’ll cover the complete range of new capabilities and updates for CDP Private Cloud as a whole (the platform) as well as for both the CDW (Cloudera Data Warehouse) and CML (Cloudera Machine Learning) services. Further enhancements. Private Cloud 1.2 delivers more than the highlights above. Support for OpenShift 4.6: .

Machine Learning 88

Machine Learning Data Warehouse Data-driven Metrics 88

Cloudera

MAY 22, 2018

With CDSW, organizations can research and experiment faster, deploy models easily and with confidence, as well as rely on the wider Cloudera platform to reduce the risks and costs of data science projects. track model metrics, performance, and any model artifacts the user specifies. Experiments.

Data Science 41

Data Science Snapshot Machine Learning Metadata 41

Alation

APRIL 25, 2023

As firms mature their transformation efforts, applying Artificial Intelligence (AI), machine learning (ML) and Natural Language Processing (NLP) to the data is key to putting it into action quickly and effecitvely. Using bad data, or the incorrect data can generate devastating results. between 2022 and 2029. Keen to learn more?

Data Governance 52

Data Governance Marketing Machine Learning Sales 52

Cloudera

DECEMBER 20, 2022

This scenario suggests that in the not too distant future, there will be a large “long-tail” of producers that will have to be taken into account for any production forecasting model. To learn more: Read how utilities lever Cloudera to manage smart meters data.

Optimization 79

Optimization Data Analytics Analytics Cost-Benefit 79

Alation

APRIL 25, 2023

As firms mature their transformation efforts, applying Artificial Intelligence (AI), machine learning (ML) and Natural Language Processing (NLP) to the data is key to putting it into action quickly and effecitvely. Using bad data, or the incorrect data can generate devastating results. between 2022 and 2029. Keen to learn more?

Data Governance 40

Data Governance Marketing Machine Learning Sales 40

Jen Stirrup

MAY 5, 2020

Recently, I gave a Make Your Data Work Monday webinar on the complexities of the data sources for data science in Azure, and I thought it important enough to turn into an actual post. How can you differentiate the different opportunities to store your data in Azure? The data is also distributed.

Machine Learning 89

Machine Learning Data Science Data Lake Big Data 89

Insight

APRIL 8, 2020

Since 2014, Insight been successfully running a fully distributed and fully remote interviewing process that has helped us sift through thousands of applications and identify top-tier candidates who have joined our Fellowship programs and gone on to work as data engineers at Netflix, Facebook, Vanguard, Apple, Bosch, and others.

Cost-Benefit 96

Cost-Benefit Software Data Warehouse Optimization 96

Sisense

MAY 31, 2020

We’ve taken what we’ve learned from our customers and combined it with our own understanding of how the data and analytics world is evolving to drive innovations that unlock new possibilities and help our clients future-proof their products and services. Customer success isn’t a team sport – it’s a company value.

Marketing 98

Marketing Reporting Data Warehouse Predictive Analytics 98

CDW Research Hub

JULY 17, 2019

For example, Sirius recently helped an organization improve their employee experience simply by analyzing badge scans and sensor data from lights and parking garages. Join our How to be Clever, Not Creepy, with Your Customer Data Webinar on August 21, or connect with us now to learn how you can better leverage your customer data.

Predictive Modeling 44

Predictive Modeling Machine Learning Sales Modeling 44

Cloudera

APRIL 9, 2021

Enterprise data warehouse platform owners face a number of common challenges. In this article, we look at seven challenges, explore the impacts to platform and business owners and highlight how a modern data warehouse can address them. ETL jobs and staging of data often often require large amounts of resources.

Data Warehouse 58

Data Warehouse Cost-Benefit Statistics Data-driven 58

DataKitchen

DECEMBER 7, 2021

This book is not available until January 2022, but considering all the hype around the data mesh, we expect it to be a best seller. In the book, author Zhamak Dehghani reveals that, despite the time, money, and effort poured into them, data warehouses and data lakes fail when applied at the scale and speed of today’s organizations.

Data-driven 246

Data-driven Data Governance Big Data Data Science 246

Birst BI

NOVEMBER 20, 2018

To hear more on Infor Dynamic Science Labs analytic methodologies, watch this on-demand webinar. After a few iterations, this results in a well-defined business question with identifiable supporting data. A foundational data analysis tool is Statistics , and everyone intuitively applies it daily.

Statistics 84

Statistics Machine Learning Deep Learning Optimization 84

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

OCTOBER 29, 2020

Included with CDP Data Warehouse and Machine Learning, DV enables data engineers, data scientists, business analysts, and business users to create and share important insights instantly across any team using an intuitive drag-and-drop interface. CDP Data Visualization Connects All Your Data Across the CDP Ecosystem.

Visualization 105

Visualization Machine Learning Dashboards Data Warehouse 105

Jet Global

JULY 31, 2023

Financial and operational reporting teams may need to rely on IT personnel for report customization, data modeling, or resolving technical issues. That’s where we use the analytics side of Angles, when we’re able to do multiple loads throughout the day and pull that data out of EBS into our data warehouse.

Operational Reporting 52

Operational Reporting Data Warehouse Reporting Finance 52

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. What is Real Time Data Warehousing?

Data Warehouse 90

Data Warehouse Optimization Dashboards Interactive 90

DataKitchen

NOVEMBER 20, 2021

Let’s say a data scientist has developed a model that works perfectly with training data. When subjecting it to real-world data, it may behave differently, and you must adjust accordingly. To learn more about the role of a DataOps Engineer, watch the on-demand webinar, A Day in the Life of a DataOps Engineer.

Testing 246

Testing Machine Learning Data Warehouse Reporting 246

CDW Research Hub

OCTOBER 12, 2021

But most legacy data architectures do not have a unified data model, and they are hard-wired toward specific BI tools that do not support self-service analytics. Unreliable Data as a Service (DaaS) implementations. Ad hoc model development that creates inconsistencies across the enterprise. How does Denodo work?

Data Warehouse 52

Data Warehouse Big Data Data Architecture Cost-Benefit 52

Cloudera

APRIL 21, 2021

This cluster runs workloads for every department – from real-time user interfaces for Support to providing recommendations in the Cloudera Data Platform (CDP) Upgrade Advisor to analyzing our business and closing our books. You can learn more about how we moved to CDP [ADD WEBINAR DETAILS]. Lessons Learned.

Testing 116

Testing Data Processing Interactive Data Warehouse 116

Cloudera

JANUARY 11, 2021

Can a NiFi data flow be blocked or shared based on users’ access and security policy? NiFi provides a very fine-grained, multi-tenancy, and policy model. NiFi would capture the various datasets, do the required transformations (schema validation, format transformation, data cleansing, etc.)

Data Processing 59

Data Processing Interactive ROI Data Warehouse 59

Alation

JANUARY 25, 2022

Indeed, the foundation of your data architecture and strategy – and thus your business strategy – begins with choosing the best data catalog to support your business. But how do you go about selecting the right data catalog? These two resources can help you get started: White paper: How to Evaluate a Data Catalog.

Metadata 52

Metadata IT Metrics Data-driven 52

CDW Research Hub

SEPTEMBER 15, 2020

Creating a modern data platform that is designed to support your current and future needs is critical in a data-driven organization. Business leaders need to be able to quickly access data—and to trust the accuracy of that data—to make better decisions. Build a Best of Breed Data Platform.

Business Intelligence 52

Business Intelligence Prescriptive Analytics Unstructured Data Data Warehouse 52

Andrew White

JANUARY 11, 2021

On January 4th I had the pleasure of hosting a webinar. It was titled, The Gartner 2021 Leadership Vision for Data & Analytics Leaders. This was for the Chief Data Officer, or head of data and analytics. The fill report is here: Leadership Vision for 2021: Data and Analytics. It really does. Fusion teams.

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52

Birst BI

OCTOBER 24, 2019

To put it simply, by setting up DaaS, Birst offers a better way to democratize data without sacrificing security, governance, and control. Click here to register for November 12 webinar, where a CIO explains how flexible and secure DaaS is delivered today with Birst. What value does this provide over other methods for acquiring data?

Data Warehouse 51

Data Warehouse Recreation/Entertainment Data Lake Data Architecture 51

Birst BI

FEBRUARY 25, 2020

Managing large-scale data warehouse systems has been known to be very administrative, costly, and lead to analytic silos. The good news is that Snowflake, the cloud data platform, lowers costs and administrative overhead. The post Birst automates the creation of data warehouses in Snowflake appeared first on Birst.

Data Warehouse 52

Data Warehouse Cost-Benefit Data Architecture Enterprise 52

Cloudera

NOVEMBER 27, 2023

Many architects and team leaders expressed to us a desire to democratize stream processing to larger user bases, especially SQL analysts and/or a desire to move from manual configuration and maintenance of Flink environments to more of a PaaS model to maintain performance while freeing up development resources. Takeaway No.

Data Lake 78

Data Lake Advertising ROI Data Warehouse 78

Jet Global

AUGUST 24, 2023

Although many companies run their own on-premises servers to maintain IT infrastructure, nearly half of organizations already store data on the public cloud. The Harvard Business Review study finds that 88% of organizations that already have a hybrid model in place see themselves maintaining the same strategy into the future.

Finance 52

Finance Reporting Data Integration Risk 52

Jet Global

APRIL 18, 2024

A cloud-hosted SaaS model reduces these expenses, freeing resources for scalability and swift adaptation without traditional financial strains. This method circumvents the extensive costs and setup delays typical of traditional models. Here’s how. Infrastructure costs. Security concerns. Ready to learn more?

Marketing 52

Marketing Analytics Data Processing Cost-Benefit 52

Jet Global

APRIL 24, 2024

With Logi AI, you, as an independent software vendor, can bring your own AI language model, giving you the flexibility to leverage the best technology available today and seamlessly switch to even better options as they emerge. Check out our on-demand webinar on empowering predictive analytics through embedded business intelligence.

Business Intelligence 52

Business Intelligence Dashboards Software Reporting 52

Jet Global

JULY 1, 2021

Though almost everyone has heard about so-called SMART goals over the years, fewer people are familiar with the FAST model of goal-setting. When you set a firm deadline, employees are more likely to tailor their work habits to meet that goal. FAST stands for frequently discussed, ambitious, specific, and transparent.

Finance 98

Finance Recreation/Entertainment Reporting Software 98

Jet Global

FEBRUARY 14, 2022

Structuring data in a way that recognizes the importance of tax from the outset is far more efficient than a silo approach and common data models will be key enablers of a more holistic process.”. In large organizations, this can require significant amounts of resource and (potentially) programming skills.

Finance 52

Finance Recreation/Entertainment Software Reporting 52

Jet Global

JULY 19, 2021

Other options for allocating value include the option pricing model (OPM), common stock equivalent (CSE), and probability weighted expected return method (PWERM). You can use this method when a company has an especially complex capitalization table, or if there is a reasonable likelihood that the company will be acquired in the near future.

Measurement 98

Measurement Recreation/Entertainment Reporting Marketing 98

Jet Global

OCTOBER 18, 2021

By combining these factors and developing models to improve their accuracy over time, supply chain managers can become more adept at getting the right product to the right place at the right time. The sales of auto parts for older vehicles, likewise, will decline as new models supersede them. Successful Demand Planning and Forecasting.

Forecasting 52

Forecasting Recreation/Entertainment Sales Finance 52