CIO Business Intelligence

MAY 13, 2023

Back in 2001, as I was just entering the venture industry, I remember the typical VC reaction to a start-up pitch was, “Can’t Microsoft replicate your product with 20 people and a few months of effort, given the resources they have?” Managing the process and products involved in remediation is difficult.

Risk 136

Risk Marketing Enterprise Technology 136

AWS Big Data

MARCH 21, 2024

The volume of data generated globally continues to surge, from gaming, retail, and finance, to manufacturing, healthcare, and travel. Organizations are looking for more ways to quickly use the constant inflow of data to innovate for their businesses and customers. Apache Kafka is a popular choice for these real-time streaming needs.

Data Lake 92

Data Lake Management Modeling Optimization 92

datapine

SEPTEMBER 29, 2022

1) What Is Data Quality Management? 4) Data Quality Best Practices. 5) How Do You Measure Data Quality? 6) Data Quality Metrics Examples. 7) Data Quality Control: Use Case. 8) The Consequences Of Bad Data Quality. 9) 3 Sources Of Low-Quality Data. 10) Data Quality Solutions: Key Attributes.

Data Quality 241

Data Quality Metrics Data-driven Management 241

datapine

MARCH 31, 2022

3) What Are the First Steps To Getting Started? 4) Business Intelligence Job Roles. Does data excite, inspire, or even amaze you? Does the idea of discovering patterns in large volumes of information make you want to roll up your sleeves and get to work? How do you get into this field?

Business Intelligence 239

Business Intelligence Statistics Visualization Data-driven 239

DataKitchen

JUNE 19, 2023

Our recent survey showed that 97% of data engineers report experiencing burnout in their day-to-day jobs. The spiritual benefits of letting go may be profound, but finding and fixing the problem at its root is, as Samuel Florman writes, “ existential joy.” That idea is the Data Journey.

Testing 130

Testing Cost-Benefit Metrics Data Quality 130

AWS Big Data

APRIL 10, 2024

“Data is at the center of every application, process, and business decision. Customers across industries are becoming more data driven and looking to increase revenue, reduce cost, and optimize their business operations by implementing near real time analytics on transactional data, thereby enhancing agility.

Data Warehouse 88

Data Warehouse Analytics Metrics Snapshot 88

CIO Business Intelligence

SEPTEMBER 20, 2023

Business leaders expect IT to develop new products, improve customer experiences, automate workflows, and deliver new artificial intelligence capabilities. The best way to address this gap is to draft a simple vision statement written by product managers and delivery leaders in collaboration with stakeholders and agile teams.

Digital Transformation 131

Digital Transformation Uncertainty Metrics Business Objectives 131

AWS Big Data

OCTOBER 17, 2023

Tens of thousands of customers use Amazon Redshift to gain business insights from their data. With Amazon Redshift, you can use standard SQL to query data across your data warehouse, operational data stores, and data lake. Migrating a data warehouse can be complex.

Data Warehouse 82

Data Warehouse Data Processing Data Lake Management 82

CIO Business Intelligence

NOVEMBER 16, 2023

Deploying public LLMs Dig Security is an Israeli cloud data security company, and its engineers use ChatGPT to write code. Every engineer uses stuff to help them write code faster,” says CEO Dan Benjamin. Every engineer uses stuff to help them write code faster,” says CEO Dan Benjamin. It’s blocked.”

Modeling 137

Modeling Enterprise Marketing Sales 137

datapine

OCTOBER 17, 2019

Management reporting is a source of business intelligence that helps business leaders make more accurate, data-driven decisions. But before we get into the nitty-gritty, let’s give you a bit of background. Exclusive Bonus Content: Get our free guide to creating better reports! What Is A Management Report? They’re also slow.

Reporting 263

Reporting Management Dashboards KPI 263

AWS Big Data

JULY 17, 2023

In this post, we show how to build a log ingestion pipeline using the new Amazon OpenSearch Ingestion , a fully managed data collector that delivers real-time log and trace data to Amazon OpenSearch Service domains. OpenSearch Ingestion is powered by the open-source data collector Data Prepper.

Management 73

Management Analytics Data Processing Metrics 73

Smart Data Collective

MARCH 19, 2023

This past week, a growing number of people have talked about the changes that ChatGPT 4 is brining to our lives. ChatGPT ChatGPT is an AI content writing tool that can help digital marketers create new content more quickly than ever. They mentioned their own AI tool, which is titled Semrush SEO Writing Assistant.

Marketing 108

Marketing Optimization Data-driven Dashboards 108

Smart Data Collective

AUGUST 19, 2021

Data is the backbone of effective digital marketing, and content is not just king; it is the entire royal family. When you combine both, you get one of the most formidable and effective marketing strategies ever. How can you get started, though? We’ll start with the basics first.

Marketing 131

Marketing Analytics Measurement Optimization 131

Cloudera

MARCH 14, 2023

We just announced the general availability of Cloudera DataFlow Designer , bringing self-service data flow development to all CDP Public Cloud customers. In this blog post we will put these capabilities in context and dive deeper into how the built-in, end-to-end data flow life cycle enables self-service data pipeline development.

Testing 80

Testing Publishing Metadata Interactive 80

AWS Big Data

AUGUST 16, 2023

Automated Data Analytics (ADA) on AWS is an AWS solution that enables you to derive meaningful insights from data in a matter of minutes through a simple and intuitive user interface. ADA offers an AWS-native data analytics platform that is ready to use out of the box by data analysts for a variety of use cases.

Data Analytics 72

Data Analytics Analytics Visualization Software 72

erwin

MAY 2, 2022

How to create a solid foundation for data modeling of OLTP systems. As you undertake a cloud database migration , a best practice is to perform data modeling as the foundation for well-designed OLTP databases. This makes mastering basic data modeling techniques and avoiding common pitfalls imperative. Data modeling basics.

Modeling 98

Modeling Insurance Cost-Benefit Data Warehouse 98

Smart Data Collective

MARCH 23, 2022

If we count the number of data on the web, it is probably a number that we have never heard of. However, it’s all about the quality and not the quantity when collecting data. Moreover, some companies are sitting on loads of consumer data and don’t know what to do with it.

Data mining 121

Data mining Marketing Insurance Data Collection 121

IBM Big Data Hub

JUNE 26, 2023

But where to start? Plus, we have practical next steps to guide your AIOps journey. This cloud financial management practice is a way for cross-functional teams—like Engineering, Finance and Product—to work together and take ownership of cloud usage. of global electricity use.

Digital Transformation 55

Digital Transformation Cost-Benefit ROI Data-driven 55

Cloudera

JANUARY 6, 2021

Python is used extensively among Data Engineers and Data Scientists to solve all sorts of problems from ETL/ELT pipelines to building machine learning models. Apache HBase is an effective data storage system for many workflows but accessing this data specifically through Python can be a struggle.

Machine Learning 131

Machine Learning Data Science Management Enterprise 131

AWS Big Data

APRIL 3, 2024

Today, we are pleased to announce that Amazon DataZone is now able to present data quality information for data assets. Other organizations monitor the quality of their data through third-party solutions. Amazon DataZone now integrates directly with AWS Glue to display data quality scores for AWS Glue Data Catalog assets.

Data Quality 85

Data Quality Visualization Metadata Metrics 85

Occam's Razor

FEBRUARY 6, 2018

That in turn will drive smarter questions, which will elicit thoughtful answers from available data. The result will be data-influenced actions that result in a long-term strategic advantage. It all starts with sharp focus. If you bring sharp focus, you increase chances of attention being diverted to the right places.

Strategy 263

Strategy Metrics KPI Dashboards 263

Occam's Razor

MARCH 23, 2021

Data Warehousing. This is a huge miss… Left to their own accord, how many companies will make the same decisions data would recommend? Transforming Data’s Strategic Influence. application in data to new and unexplored areas. application in data to new and unexplored areas. Paid Media. Owned Media. Customer Service.

Analytics 131

Analytics Scorecard Strategy Testing 131

datapine

NOVEMBER 5, 2019

Studies suggest that businesses that adopt a data-driven marketing strategy are likely to gain an edge over the competition and in turn, increase profitability. In fact, according to eMarketer, 40% of executives surveyed in a study focused on data-driven marketing, expect to “significantly increase” revenue. Still unsure?

Dashboards 220

Dashboards Cost-Benefit Sales Metrics 220

AWS Big Data

JUNE 6, 2023

Amazon EMR on EKS provides a deployment option for Amazon EMR that allows organizations to run open-source big data frameworks on Amazon Elastic Kubernetes Service (Amazon EKS). We provide step-by-step instructions to assist you in setting up the infrastructure and submitting a job with both methods.

Optimization 68

Optimization Data Lake Cost-Benefit Management 68

Alation

APRIL 18, 2023

For any data user in an enterprise today, data profiling is a key tool for resolving data quality issues and building new data solutions. In this blog, we’ll cover the definition of data profiling, top use cases, and share important techniques and best practices for data profiling today.

IT 52

IT Data Quality Metadata Data Governance 52

AWS Big Data

FEBRUARY 26, 2024

When you start the process of designing your data model for Amazon Keyspaces, it’s essential to possess a comprehensive understanding of your access patterns, similar to the approach used in other NoSQL databases. It empowers businesses to explore and gain insights from large volumes of data quickly.

Dashboards 60

Dashboards Testing Metrics Optimization 60

Jet Global

JANUARY 18, 2021

Microsoft committed heavily to the cloud across all its product lines, including the Dynamics family of ERP and CRM solutions. That will mean an eventual migration to the cloud for customers of Microsoft Dynamics AX, Microsoft Dynamics CRM, and the legacy Microsoft GP, SL, and NAV products. Start with a Functional Review.

Data Lake 98

Data Lake Reporting Cost-Benefit Finance 98

AWS Big Data

APRIL 24, 2023

Building a data lake on Amazon Simple Storage Service (Amazon S3) provides numerous benefits for an organization. However, many use cases, like performing change data capture (CDC) from an upstream relational database to an Amazon S3-based data lake, require handling data at a record level.

Data Lake 77

Data Lake Data Governance Cost-Benefit Machine Learning 77

datapine

OCTOBER 10, 2019

A business dashboard offers at-a-glance insights based on key performance indicators (KPIs) and is an intuitive and visually pleasing way to consume data. Unlike early predecessors, they give presenters the ability to engage audiences with real-time data. Without further ado, let’s get going. How much context they already have.

Dashboards 146

Dashboards Visualization Sales Metrics 146

FineReport

MARCH 9, 2023

Key Points of Writing a Quarterly Report If you’re a manager, chances are you’ve written countless quarterly or annual reports throughout your career. To help you out, here are some fundamental tips on how to write an effective quarterly report. Are you exhausted from creating quarterly reports from scratch everytime?

Reporting 52

Reporting Visualization KPI Sales 52

AWS Big Data

SEPTEMBER 25, 2023

With Amazon Redshift , you can run a complex mix of workloads on your data warehouse, such as frequent data loads running alongside business-critical dashboard queries and complex transformation jobs. We also see more and more data science and machine learning (ML) workloads.

Management 91

Management Data Warehouse Metrics Dashboards 91

Cloudera

MAY 9, 2022

The performance on queries depends on the size of the data, file types, query design, and query patterns. It is advisable to make one change at a time during performance testing of the workload, and would be best to assess the impact of tuning changes in your development and QA environments before using them in production environments.

Optimization 113

Optimization Testing Cost-Benefit Measurement 113

Cloudera

JANUARY 20, 2021

Most of what is written though has to do with the enabling technology platforms (cloud or edge or point solutions like data warehouses) or use cases that are driving these benefits (predictive analytics applied to preventive maintenance, financial institution’s fraud detection, or predictive health monitoring as examples) not the underlying data.

Digital Transformation 103

Digital Transformation Manufacturing Data Warehouse Predictive Analytics 103

Smart Data Collective

MARCH 26, 2021

From the most subtle advances, like Netflix recommendations, to life-saving medical diagnostics or even writing content , machine learning facilitates it all. When you finish binging your favorite television show, Netflix pulls up another for you to start. Then, they can help people in daily life. Construction Safety.

Machine Learning 141

Machine Learning Interactive Deep Learning Technology 141

Alation

FEBRUARY 2, 2023

Data product managers are in high demand these days. In 2020, Glassdoor rated product manager as the 4th best job in the US. This makes it more important for aspiring data product managers to stay ahead of the competition. So what sets data product managers apart from the pack? Let’s start!

Management 52

Management Data-driven Visualization Strategy 52

Rocket-Powered Data Science

MARCH 10, 2020

In 2019, I was asked to write the Foreword for the book “ Graph Algorithms: Practical Examples in Apache Spark and Neo4j “ , by Mark Needham and Amy E. I wrote an extensive piece on the power of graph databases, linked data, graph algorithms, and various significant graph analytics applications.

Metadata 250

Metadata Machine Learning ROI Prescriptive Analytics 250

O'Reilly on Data

MARCH 7, 2019

Computers will get as good as humans in complex tasks like reading comprehension, language translation, and creative writing. states started last night, upper abd, took alka seltzer approx 0500, no relief. states started last night, upper abd, took alka seltzer approx 0500, no relief. are written in English. diaphoretic.

Deep Learning 227

Deep Learning Testing Machine Learning Modeling 227