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. Every business needs a go-to-market strategy or the GTM strategy to reach the target customers and stay ahead of their competitors.

Marketing 107

Marketing Data Analytics Analytics Big Data 107

CIO Business Intelligence

JUNE 21, 2022

IT governance should be well-defined, clearly understood, and led by principles that reflect your organization’s mission, vision, and strategy, advises Donna Bales, principal research director at Info-Tech Research Group. Many enterprises continue to base their IT governance on cost and performance service level agreement (SLA) metrics.

IT 113

IT Risk Measurement Risk Management 113

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

Smart Data Collective

MARCH 30, 2021

A data-driven approach allows companies of any scale to develop SEO and marketing strategies based not on the opinion of individual marketers but on real statistics. Big data helps better understand your customers, adjust your strategy according to the obtained results, and even decide on the further development of your product line.

Data-driven 91

Data-driven Sales Big Data Marketing 91

DataKitchen

APRIL 13, 2021

A complete DataOps program will have a unified, system-wide view of process metrics using a common data store. Rivery – Automate, manage, and transform data so it can be fed back to stakeholders as meaningful insights. Great Data Minds – Data modernization consulting.

Testing 300

Testing Machine Learning Consulting Data Quality 300

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

FineReport

OCTOBER 25, 2021

Undoubtedly, a data dashboard tool helps you answer a barrage of business-related questions in order to cater to your own strategies. As it transforms your business into data-driven one, data could thus exploit their intrinsic value to the fullest by visualizations. How to Create Your Own Data Dashboard—Guidance.

Dashboards 98

Dashboards KPI Visualization Key Performance Indicator 98

datapine

DECEMBER 4, 2019

Considered a new big buzz in the computing and BI industry, it enables the digestion of massive volumes of structured and unstructured data that transform into manageable content. Augmented analytics was indeed previously referred to as “Smart Data Discovery”. Graph analytics has revolutionized business intelligence.

Business Intelligence 212

Business Intelligence Prescriptive Analytics Analytics Predictive Analytics 212

Smarten

JUNE 10, 2022

Traditional business intelligence is focused on reporting and queries, whereas advanced analytics is focused on the analysis of structured and unstructured data to optimize, correlate and predict the activities and strategies that will help the business succeed and to predict results. Business Intelligence. Dashboards.

Slice and Dice 52

Slice and Dice Analytics Key Performance Indicator Business Intelligence 52

FineReport

MARCH 7, 2024

Data Acquisition I categorize data sources into three types: (1) First-party data: User factual data, such as financial products purchased at a certain institution, time of purchase, issuing branch, name, phone number, or operational data, such as user behavioral data on a financial app. (2)

Dashboards 52

Dashboards Reporting Advertising Statistics 52

datapine

JUNE 5, 2019

Without the existence of dashboards and dashboard reporting practices, businesses would need to sift through colossal stacks of unstructured data, which is both inefficient and time-consuming. A data dashboard assists in 3 key business elements: strategy, planning, and analytics. Legacy Data Solutions.

Dashboards 316

Dashboards KPI Sales Visualization 316

IBM Big Data Hub

AUGUST 28, 2023

With nearly 5 billion users worldwide—more than 60% of the global population —social media platforms have become a vast source of data that businesses can leverage for improved customer satisfaction, better marketing strategies and faster overall business growth.

Data mining 56

Data mining Machine Learning Deep Learning Marketing 56

AWS Big Data

JULY 20, 2023

To overcome these issues, Orca decided to build a data lake. A data lake is a centralized data repository that enables organizations to store and manage large volumes of structured and unstructured data, eliminating data silos and facilitating advanced analytics and ML on the entire data.

Data Lake 90

Data Lake Analytics Snapshot Optimization 90

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

bridgei2i

FEBRUARY 24, 2021

So Sunil over two decades in HR strategy and industrial transformation. Many organizations today are dealing with large amounts of structured and unstructured data. And the fresh challenge is to derive actionable insights from that data, which is impacting their business outcomes. Monica: Thank you. Meet the Speakers.

Cost-Benefit 92

Cost-Benefit Recreation/Entertainment Digital Transformation Scorecard 92

Domino Data Lab

AUGUST 10, 2021

This change makes models the new currency of competitive advantage, strategy, and growth. You expose the algorithm to training data, let the model analyze the output and adjust parameters until it achieves the desired goal. Unsupervised learning: the model is free to explore data and to identify patterns between variables.

Modeling 64

Modeling IT Risk Management Deep Learning 64

Sisense

MAY 11, 2021

In this article, we’ll dig into what data modeling is, provide some best practices for setting up your data model, and walk through a handy way of thinking about data modeling that you can use when building your own. Building the right data model is an important part of your data strategy. Discover why.

Modeling 84

Modeling Big Data IoT Data Warehouse 84

AWS Big Data

JANUARY 8, 2024

Stream ingestion – The stream ingestion layer is responsible for ingesting data into the stream storage layer. It provides the ability to collect data from tens of thousands of data sources and ingest in real time. You can use Amazon EMR for streaming data processing to use your favorite open source big data frameworks.

Analytics 115

Analytics IoT Data-driven Snapshot 115

Jet Global

MAY 9, 2024

Monitoring can include tracking performance metrics such as execution time and resource usage, and logging errors or failures for troubleshooting and remediation. It also includes data validation and quality checks to ensure the accuracy and integrity of the data being processed.

Data Lake 52

Data Lake Data Warehouse Business Intelligence Machine Learning 52

AWS Big Data

FEBRUARY 21, 2023

We dive deep into a hybrid approach that aims to circumvent the issues posed by these two and also provide recommendations to take advantage of this approach for healthcare data warehouses using Amazon Redshift. What is a dimensional data model? It optimizes the database for faster data retrieval.

Data Warehouse 67

Data Warehouse Data Lake Cost-Benefit Modeling 67

AWS Big Data

JUNE 9, 2023

Offers different query types , allowing to prioritize data freshness (Snapshot Query) or read performance (Read Optimized Query). Iceberg offers a Merge On Read strategy to enable fast writes. Delta uses a Copy On Write strategy that is not optimized for fast (streaming) writes, as it rewrites entire files for record updates.

Data Lake 115

Data Lake Metadata Optimization Statistics 115

Occam's Razor

NOVEMBER 5, 2007

The fact that to make optimal decisions on the web I was going to have to be comfortable with multiple sources of data, all valuable and all necessary to win. The strategy, for me, was two fold: Go figure out what sources of data, web and non-web, were needed to make decisions. No one wants to look bad by comparison!

Analytics 98

Analytics Experimentation Metrics Measurement 98

IBM Big Data Hub

JANUARY 16, 2024

Figure 2: Green IT Analyzer platform, an IBM asset available on AWS Cloud Location-based methodology Understanding the carbon emissions from IT workloads requires familiarity with several key concepts and metrics. It’s a crucial metric for gauging the environmental impact of data center operations.

IT 89

IT Cost-Benefit Consulting Measurement 89

Alation

MARCH 21, 2023

Organizations in the travel and tourism vertical use big data and analytics to find patterns in structured and unstructured data that allow them to make informed business decisions. What are common data challenges for the travel industry? They may also suffer from data duplication, which undermines their analytics models.

Data Analytics 52

Data Analytics Analytics Data-driven Big Data 52

Alation

NOVEMBER 22, 2022

An active data governance framework includes: Assigning data stewards. Standardizing data formats. Identifying structured and unstructured data. Setting data management policies, like tagging data. Quantifying effectiveness with metrics. Data governance is the foundation for these strategies.

Data Governance 52

Data Governance Metadata Data-driven Unstructured Data 52