Sisense

OCTOBER 15, 2020

Let’s look at a few ways that different industries take advantage of streaming data. How industries can benefit from streaming data. Automotive: Monitoring connected, autonomous cars in real time to optimize routes to avoid traffic and for diagnosis of mechanical issues. Optimizing object storage. Cleaning up dirty data.

Dashboards 98

Dashboards IoT Optimization Internet of Things 98

CIO Business Intelligence

JUNE 2, 2022

It’s sort of like teaching a child to identify different animals: this is a rabbit, this is a donkey and so on,” King said, in a published interview. “If To create a productive, cost-effective analytics strategy that gets results, you need high performance hardware that’s optimized to work with the software you use.

Machine Learning 140

Machine Learning Deep Learning Data Quality Strategy 140

Jedox

NOVEMBER 19, 2020

In this blog we take a closer look at the recently published BARC study “Sound Decisions in Dynamic Times.” The improvement in data quality follows with 53%. This finding is in line with what US-based FP&A expert Brian Kalish recently stated in his guest blog on data analysis : Data is abundant.

Forecasting 89

Forecasting Reporting Data Quality Marketing 89

AWS Big Data

JUNE 6, 2023

Data consumers lose trust in data if it isn’t accurate and recent, making data quality essential for undertaking optimal and correct decisions. Evaluation of the accuracy and freshness of data is a common task for engineers. Currently, various tools are available to evaluate data quality.

Data Quality 75

Data Quality Data Lake Data-driven Metrics 75

DataKitchen

FEBRUARY 21, 2023

On 24 January 2023, Gartner released the article “ 5 Ways to Enhance Your Data Engineering Practices.” How do you scale an organization without hiring an army of hard-to-find data engineering talent? If he is to take Gartner’s advice to heart, Marcus will have to add a set of tasks to his team’s daily data engineering tasks.

Data-driven 130

Data-driven Testing Risk Cost-Benefit 130

IBM Big Data Hub

JANUARY 8, 2024

They can optimize their supply chains, create delightful, personalized experiences for their customers, proactively identify quality issues or intercept customer churn before it occurs.  It includes a built-in schema registry to validate event data from applications as expected, improving data quality and reducing errors.

Data-driven 73

Data-driven Management Advertising Enterprise 73

CIO Business Intelligence

JANUARY 4, 2023

A team of researchers from Lancaster University, along with sustainability consultancy Small World Consulting, published a 2021 report indicating that IT contributes to as much as 1.2% They are looking for data quality and accuracy to measure carbon footprint, supply chain optimization, and green revenue in real time.”

IT 129

IT Internet of Things Reporting Cost-Benefit 129

Ontotext

JULY 6, 2023

The solution also reduces incident response times, optimizes processes and streamlines asset management. It provides easy data access for AI applications and fosters the development of new applications within the enterprise. This ensures optimal decision-making and the ability to adapt to changing market dynamics.

Cost-Benefit 52

Cost-Benefit Metadata Experimentation Risk 52

AWS Big Data

MARCH 7, 2023

Flexible and easy to use – The solutions should provide less restrictive, easy-to-access, and ready-to-use data. They should also provide optimal performance with low or no tuning. ETL (extract, transform, and load) technologies, streaming services, APIs, and data exchange interfaces are the core components of this pillar.

Analytics 72

Analytics Data Warehouse Data Lake Metadata 72

Alation

JANUARY 26, 2023

Offer the right tools Data stewardship is greatly simplified when the right tools are on hand. So ask yourself, does your steward have the software to spot issues with data quality, for example? 2) Always Remember Compliance Source: Unsplash There are now many different data privacy and security laws worldwide.

Data Governance 52

Data Governance Strategy Data Quality Marketing 52

Ontotext

JUNE 10, 2021

With graph databases the representation of relationships as data make it possible to better represent data in real time, addressing newly discovered types of data and relationships. Relational databases benefit from decades of tweaks and optimizations to deliver performance.

Metadata 119

Metadata Cost-Benefit OLAP Modeling 119

Sisense

SEPTEMBER 3, 2020

Programming and statistics are two fundamental technical skills for data analysts, as well as data wrangling and data visualization. Data analysts in one organization might be called data scientists or statisticians in another. Database design is often an important part of the business analyst role.

Statistics 97

Statistics Metrics Visualization Finance 97

CIO Business Intelligence

FEBRUARY 14, 2023

It’s clear how these real-time data sources generate data streams that need new data and ML models for accurate decisions. Data quality is crucial for real-time actions because decisions often can’t be taken back. An enterprise data ecosystem architected to optimize data flowing in both directions.

Data Strategy 115

Data Strategy Strategy Machine Learning Data-driven 115

O'Reilly on Data

MARCH 31, 2020

You might establish a baseline by replicating collaborative filtering models published by teams that built recommenders for MovieLens, Netflix, and Amazon. It may even be faster to launch this new recommender system, because the Disney data team has access to published research describing what worked for other teams.

Management 339

Management Machine Learning Experimentation Metrics 339

Smart Data Collective

JUNE 19, 2019

A white paper published by Fred Reichheld on behalf of Bain and Company shows that retaining clients has immense benefits to a business. As such, you should use data analytic tools to determine leakages and hidden resource wastage channels thus optimizing on your operations. Identifying Churn.

Risk Management 70

Risk Management Risk Management Big Data 70

Smart Data Collective

JULY 11, 2019

Big data is playing a vital role in both of these areas. In 2016, AJ Agrawal, the CEO of Alumnify, published an article detailing the ways that big data is affecting SEO. In digital marketing there is no place for guessing games or riddles as it really can harm your website optimization. More nuanced analytics.

Big Data 77

Big Data Machine Learning Marketing Interactive 77

O'Reilly on Data

JULY 15, 2019

Regulators behind SR 11-7 also emphasize the importance of data—specifically data quality , relevance , and documentation. While models garner the most press coverage, the reality is that data remains the main bottleneck in most ML projects.

Machine Learning 38

Machine Learning Management Enterprise Risk Management 38

Smarten

APRIL 19, 2024

The use of Generative AI, LLM and products such as ChatGPT capabilities has been applied to all kinds of industries, from publishing and research to targeted marketing and healthcare. Benefits include customized and optimized models, data, parameters and tuning. billion, with the market growing by 31.1% in next several years.

Analytics 57

Analytics Predictive Modeling KPI Machine Learning 57

Ontotext

MARCH 27, 2024

For example, a node in an LPG with a given label does not guarantee anything about its properties and data type (because it is a string and represents no semantics). LPG lacks schema and semantics, which makes it inappropriate for publishing and sharing of data. This makes LPGs inflexible.

Modeling 69

Modeling Metadata Data Quality Enterprise 69

datapine

MAY 31, 2022

In fact, the Foundry’s recently published Cloud Computing Study (2022) found that 84% of organizations have at least one application, or a portion of their computing infrastructure already in the cloud. These tools also help optimize the cloud for cost, governance, and security. Governance/Control.

Risk 237

Risk Cost-Benefit Business Intelligence Data-driven 237

AWS Big Data

JULY 27, 2023

Then the claims data is ingested into the catalog (so it’s visible to analysts), after enriching it with some relevant details about the corresponding medical providers coming from a separate source. Claim Amount values will likely be used for some calculations, so convert to number, and Claim Data should be converted to date type.

Visualization 83

Visualization Cost-Benefit Data Quality Interactive 83

CIO Business Intelligence

NOVEMBER 29, 2022

Layering technology on the overall data architecture introduces more complexity. Today, data architecture challenges and integration complexity impact the speed of innovation, data quality, data security, data governance, and just about anything important around generating value from data.

Data Architecture 108

Data Architecture Data Integration IoT Strategy 108

Cloudera

MARCH 14, 2023

With relentless focus on transforming business processes to be more responsive to timely, relevant data, we see that most organizations are now distributing data from more sources to more destinations than ever before. Data quality issue? Good luck auditing data lineage and definitions where policies were never enforced.

Cost-Benefit 80

Cost-Benefit Data-driven Risk Data Governance 80

CIO Business Intelligence

OCTOBER 18, 2023

The solution uses CloudWatch alerts to send notifications to the DataOps team when there are failures or errors, while Kinesis Data Analytics and Kinesis Data Streams are used to generate data quality alerts.

Predictive Analytics 133

Predictive Analytics Analytics Machine Learning Digital Transformation 133

Ontotext

MAY 9, 2023

AIDAVA (short for AI-powered Data Curation & Publishing Virtual Assistant) is a Horizon Europe project, which brings together 14 partners from 9 EU countries.

Technology 52

Technology Cost-Benefit Statistics Publishing 52

Occam's Razor

JUNE 8, 2006

I am often asked what we look for when we hire Web Analysts or what quality do good Analysts possess or how to measure if a resource that already exists is optimal or how to mentor / motivate / guide our more junior Analysts to propel them to become great Analysts. We all agree that reporting is not analysis. You guys rock!!).

KPI 94

KPI Measurement Statistics Metrics 94

CIO Business Intelligence

JANUARY 31, 2023

Telecommunications, manufacturing, retail, publishing, and others have seen amazing changes in terms of new opportunities, capabilities, and efficiencies. To create a productive, cost-effective analytics strategy that gets results, you need high performance hardware that’s optimized to work with the software you use.

Deep Learning 108

Deep Learning Cost-Benefit Data-driven Manufacturing 108

AWS Big Data

JUNE 12, 2023

Therefore, it’s crucial to keep the schema definition in the Schema Registry and the Data Catalog table in sync. To avoid this, it’s recommended to use a data quality check mechanism to identify such anomalies and take appropriate action in case of unexpected behavior. page in the GitHub repository. $

Management 79

Management Metadata Testing Internet of Things 79

Occam's Razor

DECEMBER 12, 2016

Data quality plays a role into this. And, most of the time, regardless of the size of the size of the company, you only know your code is not working post-launch when data is flowing in (not!). You got me, I am ignoring all the data layer and custom stuff! This is sub-optimal. All that is great.

Analytics 141

Analytics Data-driven Strategy Consulting 141

Domino Data Lab

JULY 22, 2019

One is data quality, cleaning up data, the lack of labelled data. The problems down in the mature bucket, those are optimizations, they aren’t showstoppers. Frankly, leading data science teams early on, you almost always had to struggle against the BI teams. You know what?

Data Science 109

Data Science Machine Learning Data Governance Modeling 109

Cloudera

SEPTEMBER 9, 2022

As a data analyst or data scientist, we would all love to be able to do all these things, and much more. This is the promise of the modern data lakehouse architecture. Schema evolution: With fast-moving data and real-time data ingestion, we need new ways to keep up with data quality, consistency, accuracy, and overall integrity.

Metadata 102

Metadata Machine Learning Unstructured Data Data Lake 102

FineReport

MAY 25, 2023

An HR dashboard functions as an advanced analytics tool that utilizes interactive data visualizations to present crucial HR metrics. Its primary objective is to enhance the HR department’s recruitment processes, optimize workplace management, and improve overall employee performance.

Dashboards 52

Dashboards Metrics Cost-Benefit Key Performance Indicator 52

Andrew White

JANUARY 9, 2022

I try to relate as much published research as I can in the time available to draft a response. – In the webinar and Leadership Vision deck for Data and Analytics we called out AI engineering as a big trend. – In the webinar and Leadership Vision deck for Data and Analytics we called out AI engineering as a big trend.

Analytics 64

Analytics Measurement Modeling Data-driven 64

Ontotext

JULY 29, 2021

The second one is the Linked Open Data (LOD): a cloud of interlinked structured datasets published without centralized control across thousands of servers. In more detail, they explained that just as the hypertext Web changed how we think about the availability of documents, the Semantic Web is a radical way of thinking about data.

Enterprise 124

Enterprise Metadata Knowledge Discovery Management 124

erwin

MAY 27, 2020

The ability to modify the way data types are mapped for specific DBMS data types and to create reusable design standards across the business should be fostered through customizable functionality. Reuse serves to help lower the costs of development and maintenance and ensure data quality for governance requirements.

Modeling 98

Modeling Metadata Data Governance Visualization 98

AWS Big Data

MARCH 3, 2023

It has been well published since the State of DevOps 2019 DORA Metrics were published that with DevOps, companies can deploy software 208 times more often and 106 times faster, recover from incidents 2,604 times faster, and release 7 times fewer defects. Finally, data integrity is of paramount importance.

Software 52

Software Data Lake Testing Cost-Benefit 52

Smarten

SEPTEMBER 6, 2019

SSDP can, and does make analytics self-serve, so analysts, data scientists and IT staff can focus on strategic and long-term organizational needs and provide expert advice and support as needed. ’ 2017 has certainly proven this to be true, as businesses embrace the value of self-serve data preparation and analytics tools.

Analytics 51

Analytics IT Business Intelligence Testing 51