AWS Big Data

JANUARY 8, 2024

This is the first post to a blog series that offers common architectural patterns in building real-time data streaming infrastructures using Kinesis Data Streams for a wide range of use cases. In this post, we will review the common architectural patterns of two use cases: Time Series Data Analysis and Event Driven Microservices.

Analytics 115

Analytics IoT Data-driven Snapshot 115

Cloudera

AUGUST 13, 2021

Every enterprise is trying to collect and analyze data to get better insights into their business. Whether it is consuming log files, sensor metrics, and other unstructured data, most enterprises manage and deliver data to the data lake and leverage various applications like ETL tools, search engines, and databases for analysis.

Analytics 109

Analytics Data Lake Unstructured Data Enterprise 109

AWS Big Data

JULY 20, 2023

One key component that plays a central role in modern data architectures is the data lake, which allows organizations to store and analyze large amounts of data in a cost-effective manner and run advanced analytics and machine learning (ML) at scale. To overcome these issues, Orca decided to build a data lake.

Data Lake 90

Data Lake Analytics Snapshot Optimization 90

Smarten

JUNE 10, 2022

Why You Need Both BI Tools and Augmented Analytics and What to Consider When Selecting a Vendor ! According to a West Monroe Partners’ survey, 68% of business and technology leaders surveyed don’t believe their competitors are leveraging data successfully. KPIs allow the business to establish and monitor KPIs for objective metrics.

Slice and Dice 52

Slice and Dice Analytics Key Performance Indicator Business Intelligence 52

Smart Data Collective

OCTOBER 20, 2020

Data analytics is at the forefront of the modern marketing movement. Companies need to use big data technology to effectively identify their target audience and reliably reach them. Big data should be leveraged to execute any GTM campaign. Some of these were addressed in the Data Driven Summit 2018. Let’s begin.

Marketing 107

Marketing Data Analytics Analytics Big Data 107

AWS Big Data

SEPTEMBER 8, 2023

Amazon OpenSearch Service is a managed service that makes it easy for you to perform website searches, interactive log analytics, real-time application monitoring, and more. Based on the open source OpenSearch suite, Amazon OpenSearch Service allows you to search, visualize, and analyze up to petabytes of text and unstructured data.

Management 94

Management Metrics Measurement Unstructured Data 94

CIO Business Intelligence

JUNE 14, 2023

This can be achieved by utilizing dense storage nodes and implementing fault tolerance and resiliency measures for managing such a large amount of data. First and foremost, you need to focus on the scalability of analytics capabilities, while also considering the economics, security, and governance implications. Consider data types.

Unstructured Data 62

Unstructured Data IT Manufacturing Visualization 62

DataKitchen

APRIL 13, 2021

Testing and Data Observability. Process Analytics. We have also included vendors for the specific use cases of ModelOps, MLOps, DataGovOps and DataSecOps which apply DataOps principles to machine learning, AI, data governance, and data security operations. . Reflow — A system for incremental data processing in the cloud.

Testing 300

Testing Machine Learning Consulting Data Quality 300

AWS Big Data

MARCH 25, 2024

Stream processing, however, can enable the chatbot to access real-time data and adapt to changes in availability and price, providing the best guidance to the customer and enhancing the customer experience. When the model finds an anomaly or abnormal metric value, it should immediately produce an alert and notify the operator.

Data Lake 92

Data Lake Unstructured Data Management Modeling 92

Alation

MARCH 21, 2023

Today, modern travel and tourism thrive on data. For example, airlines have historically applied analytics to revenue management, while successful hospitality leaders make data-driven decisions around property allocation and workforce management. What is big data in the travel and tourism industry?

Data Analytics 52

Data Analytics Analytics Data-driven Big Data 52

Jet Global

JUNE 18, 2019

Over the past few years, we’ve already seen transformation on a massive scale thanks to how businesses are harnessing and utilizing the new wealth of data available to them. Big Business Needs Big Data. The impact of data on business success doesn’t simply lie in the ability of businesses to collect the data itself.

Big Data 75

Big Data Software Data Analytics Analytics 75

Jet Global

OCTOBER 3, 2019

Over the past few years, we’ve already seen transformation on a massive scale thanks to how businesses are harnessing and utilizing the new wealth of data available to them. Big Business Needs Big Data. The impact of data on business success doesn’t simply lie in the ability of businesses to collect the data itself.

Big Data 53

Big Data Software Data Analytics Analytics 53

Sisense

MAY 26, 2020

In this post, we’ll discuss these challenges in detail and include some tips and tricks to help you handle text data more easily. Unstructured data and Big Data. Most common challenges we face in NLP are around unstructured data and Big Data. is “big” and highly unstructured.

Unstructured Data 98

Unstructured Data Big Data Testing Machine Learning 98

Smart Data Collective

APRIL 5, 2021

Big data has become the lifeblood of small and large businesses alike, and it is influencing every aspect of digital innovation, including web development. What is Big Data? Big data can be defined as the large volume of structured or unstructured data that requires processing and analytics beyond traditional methods.

Big Data 107

Big Data IT Data-driven Sales 107

CIO Business Intelligence

JUNE 21, 2022

Many enterprises continue to base their IT governance on cost and performance service level agreement (SLA) metrics. Unfortunately, these metrics tend to be lagging indicators. He says that it’s also important to have deep visibility into both structured and unstructured data in order to build an effective content governance program.

IT 105

IT Risk Measurement Risk Management 105

Smart Data Collective

DECEMBER 21, 2020

We previously talked about the benefits of data analytics in the insurance industry. One report found that big data vendors will generate over $2.4 Key benefits of AI include recognizing speech, identifying objects in an image, and analyzing natural or unstructured data forms. billion from the insurance industry.

Insurance 134

Insurance Cost-Benefit Big Data Unstructured Data 134

AWS Big Data

APRIL 19, 2023

With the right analytics approach, this is possible. In this post, we look at three key challenges that customers face with growing data and how a modern data warehouse and analytics system like Amazon Redshift can meet these challenges across industries and segments. Take the case of mobile gaming company Playrix.

Data Warehouse 55

Data Warehouse Data Lake Unstructured Data Optimization 55

AWS Big Data

FEBRUARY 22, 2023

The data lake implemented by Ruparupa uses Amazon S3 as the storage platform, AWS Database Migration Service (AWS DMS) as the ingestion tool, AWS Glue as the ETL (extract, transform, and load) tool, and QuickSight for analytic dashboards. This long processing time reduced the analytic team’s productivity.

Data Lake 52

Data Lake Dashboards Cost-Benefit Metadata 52

Jet Global

MAY 9, 2024

A data pipeline is a series of processes that move raw data from one or more sources to one or more destinations, often transforming and processing the data along the way. Data pipelines support data science and business intelligence projects by providing data engineers with high-quality, consistent, and easily accessible data.

Data Lake 52

Data Lake Data Warehouse Business Intelligence Machine Learning 52

bridgei2i

FEBRUARY 24, 2021

In our latest episode of the AI to Impact podcast, host Monica Gupta – Manager of AI Actions, meets with Sunil Mudgal – Advisor, Talent Analytics, BRIDGEi2i, to discuss the benefits of adopting AI-powered surveillance systems in HR organizations. Joining me today is Sunil Mudgal, Talent Analytics Advisor at BRIDGEi2i.

Cost-Benefit 92

Cost-Benefit Recreation/Entertainment Digital Transformation Scorecard 92

Sisense

MAY 11, 2021

You can’t talk about data analytics without talking about data modeling. These two functions are nearly inseparable as we move further into a world of analytics that blends sources of varying volume, variety, veracity, and velocity. But this was only the tip of the analytics iceberg.

Modeling 84

Modeling Big Data IoT Data Warehouse 84

Sisense

OCTOBER 16, 2019

The metrics need to fit the organization and not the other way around. These would include whichever executives, managers or analytical users who will actually be looking at the data on a regular basis. The lower level metrics should be derived from the way you measure the high-level ones.

Management 76

Management IT Dashboards Business Intelligence 76

Octopai

JANUARY 31, 2022

Enterprises often use data sources originating outside their organization, including data sets from the internet, the IoT, industrial sources, and scientific sources. Some of these data assets are structured and easy to figure out how to integrate. Many others are rich, unstructured data sources like documents and videos.

Metadata 77

Metadata IT Unstructured Data IoT 77

Alation

NOVEMBER 22, 2022

Effective data governance for the public sector enables entities to ensure data quality, enhance security, protect privacy, and meet compliance requirements. With so much focus on compliance, democratizing data for self-service analytics can present a challenge. Standardizing data formats. Securing Data.

Data Governance 52

Data Governance Metadata Data-driven Unstructured Data 52

Smart Data Collective

MARCH 30, 2021

According to Forbes , 95% of businesses cite the need to manage unstructured data as a problem for their business. You may imagine what a tremendous amount of marketing data we leave unused? So, here’s where big data is used to increase SEO effectiveness: Collecting customer data. Basic SEO metrics.

Data-driven 91

Data-driven Sales Big Data Marketing 91

datapine

JUNE 5, 2019

Let’s kick things off by asking the question: what is a data dashboard? Exclusive Bonus Content: Ready to make analytics straightforward? Learn all about data dashboards with our executive bite-sized summary! What Is A Data Dashboard? When it comes to business intelligence, data dashboards play a pivotal role.

Dashboards 316

Dashboards KPI Sales Visualization 316

Octopai

FEBRUARY 8, 2020

The two teams (Lockheed Martin and NASA Jet Propulsion Laboratory) that built the thrusters miscommunicated units (English to metric). How Data Lineage, Discovery and the Automated Business Glossary Serve IT and the Business. BI helps an organization make sense of and draw meaningful insights from its data assets.

Metadata 63

Metadata Key Performance Indicator Unstructured Data Business Intelligence 63

IBM Big Data Hub

JULY 6, 2023

It uses advanced tools to look at raw data, gather a data set, process it, and develop insights to create meaning. Areas making up the data science field include mining, statistics, data analytics, data modeling, machine learning modeling and programming. appeared first on IBM Blog.

Machine Learning 55

Machine Learning Data Science Statistics Deep Learning 55

Occam's Razor

NOVEMBER 5, 2007

You are not going to solve my problem of getting a single source of truth for all my web data?" Not " singlecity ", not on the web, not in Web Analytics 2.0." But there were two concepts, one big and one small, that were key in developing my own thinking about web analytics. " Me : "Multiplicity.

Analytics 98

Analytics Experimentation Metrics Measurement 98

Data Insight

OCTOBER 27, 2021

Here are some of the ways AI can support businesses: Utilisation of complex data Problems that deal with unstructured, complex data like text, photos, video and speech are challenging to solve using traditional analytics alone. Automated insights AI can undertake ongoing analytical work autonomously and at scale.

Machine Learning 52

Machine Learning Insurance Cost-Benefit Unstructured Data 52

datapine

FEBRUARY 22, 2022

Without real-time insight into their data, businesses remain reactive, miss strategic growth opportunities, lose their competitive edge, fail to take advantage of cost savings options, don’t ensure customer satisfaction… the list goes on. Clean the data. Clean data in, clean analytics out. It’s that simple.

Business Intelligence 218

Business Intelligence Strategy Cost-Benefit Key Performance Indicator 218

Domino Data Lab

AUGUST 10, 2021

Some popular tool libraries and frameworks are: Scikit-Learn: used for machine learning and statistical modeling techniques including classification, regression, clustering and dimensionality reduction and predictive data analysis. Apache Spark: is an open-source unified analytics engine designed for scaling data processing requirements.

Modeling 64

Modeling IT Risk Management Deep Learning 64

Sisense

JUNE 26, 2020

In Next-Level Moves , we dig into the ways advanced analytics are paving the way for the next wave of innovation. The human brain processes visual data better than any other kind of data, which is good because about 90% of the information our brains process is visual. The good news is, you don’t have to!

Visualization 97

Visualization Unstructured Data Measurement Data-driven 97

Alation

SEPTEMBER 9, 2021

Data governance means putting in place a continuous process to create and improve policies and standards around managing data to ensure that the information is usable, accessible, and protected. In banks, this means: Setting data format standards. Identifying structured and unstructured data that needs to be protected.

Data Governance 52

Data Governance Data Strategy Strategy Risk 52

Jedox

FEBRUARY 13, 2019

As organizations strive to implement an analytics culture for data-driven decision making, AI can be an important component in that process. AI can assist in developing a common strategic vision and help the FP&A function develop a better understanding of the business’s key metrics. A Vision for AI-enhanced Businesses.

IT 54

IT Finance Cost-Benefit Unstructured Data 54

AWS Big Data

FEBRUARY 21, 2023

Regardless of the division or use case it is related to, dimensional data models can be used to store data obtained from tracking various processes like patient encounters, provider practice metrics, aftercare surveys, and more. It is a data modeling methodology designed for large-scale data warehouse platforms.

Data Warehouse 67

Data Warehouse Data Lake Cost-Benefit Modeling 67

IBM Big Data Hub

AUGUST 28, 2023

Named entity recognition (NER): NER extracts relevant information from unstructured data by identifying and classifying named entities (like person names, organizations, locations and dates) within the text. Popular algorithms for topic modeling include Latent Dirichlet Allocation (LDA) and non-negative matrix factorization (NMF).

Data mining 54

Data mining Machine Learning Deep Learning Marketing 54