CIO Business Intelligence

JUNE 7, 2022

Data analytics draws from a range of disciplines — including computer programming, mathematics, and statistics — to perform analysis on data in an effort to describe, predict, and improve performance. What are the four types of data analytics?

Data Analytics 135

Data Analytics Diagnostic Analytics Management Analytics 135

Octopai

OCTOBER 6, 2022

While the financial stress of migration is usually shouldered by company executives, the entire data team shares the stress of packing up data assets, moving them, unpacking them and putting them in the right locations, and hoping everything got there in one piece, with nothing broken or lost. Test the process. Scrap them.

Testing 52

Testing Visualization Data Transformation Strategy 52

CIO Business Intelligence

JUNE 13, 2022

New technologies hit the market, existing ones evolve, business needs change on a dime, staff comes and goes. So now there’s a focus on ‘transversal transformation,’” Hackenson adds. I thought I was hired for digital transformation but what is really needed is a data transformation,” she says. Customer experience.

IT 144

IT Digital Transformation Strategy Internet of Things 144

Alation

FEBRUARY 20, 2020

In perhaps a preview of things to come next year, we decided to test how a Data Catalog might work with Tableau on the same data. You can check out a self service data prep flow from catalog to viz in this recorded version here. Rita Sallam Introduces the Data Prep Rodeo. Rita Sallam Introduces the Data Prep Rodeo.

Scorecard 52

Scorecard ROI Data-driven Visualization 52

Cloudera

JULY 21, 2022

Co-author: Mike Godwin, Head of Marketing, Rill Data. Cloudera has partnered with Rill Data, an expert in metrics at any scale, as Cloudera’s preferred ISV partner to provide technical expertise and support services for Apache Druid customers. Cloudera Data Warehouse). Efficient batch data processing.

Metrics 83

Metrics Slice and Dice Data Warehouse Dashboards 83

Sisense

FEBRUARY 26, 2020

Learn about the changes they’re making to not just remain competitive, but win in the future to stand the test of time. We all know that data is becoming more and more essential for businesses, as the volume of data keeps growing.

Digital Transformation 90

Digital Transformation Analytics Cost-Benefit Data-driven 90

Cloudera

FEBRUARY 8, 2021

RNN in general (recurrent neural networks) and LSTM specifically works very well with time-series data. For the avoidance of doubt, we are not purporting to be stock market experts, and nothing in this blog post should be taken as financial advice in any way. Now, let’s start testing our model! Go to runner.py and run it.

Machine Learning 72

Machine Learning Statistics Modeling Dashboards 72

AWS Big Data

APRIL 25, 2023

On many occasions, they need to apply business logic to the data received from the source SaaS platform before pushing it to the target SaaS platform. AnyCompany’s marketing team hosted an event at the Anaheim Convention Center, CA. The marketing team created leads based on the event in Adobe Marketo. Let’s take an example.

Sales 75

Sales Visualization Software Marketing 75

CIO Business Intelligence

JANUARY 9, 2023

To fuel self-service analytics and provide the real-time information customers and internal stakeholders need to meet customers’ shipping requirements, the Richmond, VA-based company, which operates a fleet of more than 8,500 tractors and 34,000 trailers, has embarked on a data transformation journey to improve data integration and data management.

Data Strategy 112

Data Strategy Strategy Data Governance Marketing 112

DataKitchen

OCTOBER 25, 2022

The goal of DataOps Observability is to provide visibility of every journey that data takes from source to customer value across every tool, environment, data store, data and analytic team, and customer so that problems are detected, localized and raised immediately. A data journey spans and tracks multiple pipelines.

Testing 130

Testing Data-driven Visualization Dashboards 130

Alation

JANUARY 17, 2023

As data science is growing in popularity and importance , if your organization uses data science, you’ll need to pay more attention to picking the right tools for this. An example of a data science tool is Dataiku. Business Intelligence Tools: Business intelligence (BI) tools are used to visualize your data.

Data Warehouse 52

Data Warehouse Cost-Benefit Data Transformation Data Science 52

Alation

OCTOBER 27, 2022

Few actors in the modern data stack have inspired the enthusiasm and fervent support as dbt. This data transformation tool enables data analysts and engineers to transform, test and document data in the cloud data warehouse. Bindu Chandramohan, Lead, Data Analytics, Alation : Thanks, Jason!

Metrics 52

Metrics Dashboards Sales Reporting 52

O'Reilly on Data

JANUARY 17, 2023

If you’re a professional data scientist, you already have the knowledge and skills to test these models. At best, you’ll get a model you can put in production right now (short time-to-market), buying your team the time to custom-tune something else (to get better performance). It buys time and breathing room.

Machine Learning 325

Machine Learning Predictive Modeling Software Modeling 325

AWS Big Data

NOVEMBER 13, 2023

The upstream data pipeline is a robust system that integrates various data sources, including Amazon Kinesis and Amazon Managed Streaming for Apache Kafka (Amazon MSK) for handling clickstream events, Amazon Relational Database Service (Amazon RDS) for delta transactions, and Amazon DynamoDB for delta game-related information.

Data Warehouse 96

Data Warehouse Data Lake Analytics Data Science 96

Sisense

AUGUST 6, 2020

Integrating AI and ML into your product or service is becoming basic table stakes for staying in the market. Doing it right can mean the difference between thriving in the new world of data and disappearing from it. Know the limitations of your existing dataset and answer these questions: What categories of data are there?

Management 95

Management Machine Learning Key Performance Indicator Cost-Benefit 95

DataRobot Blog

APRIL 4, 2022

MMM stands for Marketing Mix Model and it is one of the oldest and most well-established techniques to measure the sales impact of marketing activity statistically. MMM allows you to isolate incremental sales contributions coming from each of the marketing channels. What is MMM? Classical Modeling Considerations.

Machine Learning 52

Machine Learning Sales Measurement ROI 52

AWS Big Data

OCTOBER 18, 2023

To look for fraud, market manipulation, insider trading, and abuse, FINRA’s technology group has developed a robust set of big data tools in the AWS Cloud to support these activities. Navigate to the side menu Virtual clusters , then select the HiveDemo cluster , You can see an entry for the SparkSQL test job.

Big Data 85

Big Data Data Processing Interactive Testing 85

AWS Big Data

MARCH 3, 2023

Tricentis is the global leader in continuous testing for DevOps, cloud, and enterprise applications. Speed changes everything, and continuous testing across the entire CI/CD lifecycle is the key. Tricentis instills that confidence by providing software tools that enable Agile Continuous Testing (ACT) at scale.

Software 52

Software Data Lake Testing Cost-Benefit 52

IBM Big Data Hub

JANUARY 18, 2023

This time, at least three different data platform solutions are emerging: Data Lakehouse, Data Fabric, and Data Mesh. While this is encouraging, it is also creating confusion in the market. This adds an additional ETL step, making the data even more stale. Data lakehouse was created to solve these problems.

Data Lake 52

Data Lake Data Warehouse Data-driven Metadata 52

AWS Big Data

FEBRUARY 6, 2023

format(S3_BUCKET_NAME, dag_name, emr_task_id, correlation_id), "Instances": { "InstanceGroups": [{ "Name": "Master nodes", "Market": "ON_DEMAND", "InstanceRole": "MASTER", "InstanceType": "m5.xlarge", xlarge", "InstanceCount": 1 },{ "Name": "Slave nodes", "Market": "ON_DEMAND", "InstanceRole": "CORE", "InstanceType": "m5.xlarge",

Management 88

Management Interactive Metadata Publishing 88

IBM Big Data Hub

JULY 17, 2023

Capabilities within the Prompt Lab include: Summarize: Transform text with domain-specific content into personalized overviews and capture key points (e.g., “Building on our already existing Netezza workloads… we’re excited to see how watsonx can help us drive predictive analytics, identify fraud and optimize our marketing.”

Machine Learning 67

Machine Learning Data Warehouse Modeling Cost-Benefit 67

Sisense

DECEMBER 12, 2019

A bright, shiny BI tool that’s perfect for creating beautiful visual reports might be a dud when it comes to tackling complex data. Or maybe the reports it generates need additional data transformation/ETL tools, necessitating IT assistance every time you want to run a new analysis.

Business Intelligence 88

Business Intelligence Software Data-driven Visualization 88

AWS Big Data

MAY 9, 2023

AWS Glue Studio is a graphical interface that makes it easy to create, run, and monitor extract, transform, and load (ETL) jobs in AWS Glue. It allows you to visually compose data transformation workflows using nodes that represent different data handling steps, which later are converted automatically into code to run.

Visualization 78

Visualization Marketing Big Data IT 78

Occam's Razor

OCTOBER 19, 2010

Disclosure:] I am the co-Founder of Market Motive Inc and the Analytics Evangelist for Google. None of these tools vendors have any relationship with Market Motive either. If you can show ROI on a DW it would be a good use of your money to go with Omniture Discover, WebTrends Data Mart, Coremetrics Explore. Percent Mobile.

Analytics 135

Analytics Testing Measurement Optimization 135

CIO Business Intelligence

OCTOBER 11, 2022

More quickly moving from ideas to insights has aided new drug development and the clinical trials used for testing new products. AstraZeneca’s ability to quickly spin up new analytics capabilities using AI Bench was put to the ultimate test in early 2020 as the global pandemic took hold. . Start small, think big, and scale fast. “You

Machine Learning 145

Machine Learning Data-driven Testing Data Science 145

FineReport

MARCH 31, 2024

Through meticulous testing and research, we’ve curated a list of the ten best BI tools, ensuring accessibility and efficacy for businesses of all sizes. These tools empower organizations to glean valuable insights from their data, enhancing decision-making processes and bolstering competitiveness in data-driven markets.

Dashboards 52

Dashboards Visualization Data mining Data-driven 52

AWS Big Data

DECEMBER 21, 2023

smava believes in and takes advantage of data-driven decisions in order to become the market leader. The Data Platform team is responsible for supporting data-driven decisions at smava by providing data products across all departments and branches of the company.

Data Lake 94

Data Lake Data Warehouse Data-driven B2B 94

AWS Big Data

APRIL 5, 2023

Showpad aligns sales and marketing teams around impactful content and powerful training, helping sellers engage with buyers and generate the insights needed to continuously improve conversion rates. In 2021, Showpad set forth the vision to use the power of data to unlock innovations and drive business decisions across its organization.

Dashboards 52

Dashboards Reporting Cost-Benefit Visualization 52

Jet Global

FEBRUARY 23, 2024

This field guide to data mapping will explore how data mapping connects volumes of data for enhanced decision-making. Why Data Mapping is Important Data mapping is a critical element of any data management initiative, such as data integration, data migration, data transformation, data warehousing, or automation.

Data Warehouse 52

Data Warehouse Reporting Data Transformation Sales 52

Jet Global

MAY 1, 2023

Section 2: Embedded Analytics: No Longer a Want but a Need Section 3: How to be Successful with Embedded Analytics Section 4: Embedded Analytics: Build versus Buy Section 5: Evaluating an Embedded Analytics Solution Section 6: Go-to-Market Best Practices Section 7: The Future of Embedded Analytics Section 1: What are Embedded Analytics?

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52