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. Cross-Tab Reporting.

Slice and Dice 52

Slice and Dice Analytics Key Performance Indicator Business Intelligence 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

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

IBM Big Data Hub

JANUARY 16, 2024

As carbon emissions reporting becomes common worldwide, IBM is committed to assisting its clients in making informed decisions that can help address their energy demands and associated carbon impact while reducing costs. It’s a crucial metric for gauging the environmental impact of data center operations.

IT 87

IT Cost-Benefit Consulting Measurement 87

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. Before the self-service approach in BI, companies needed to hire an IT or data science team to perform complex analysis and export data reports.

Business Intelligence 212

Business Intelligence Prescriptive Analytics Analytics Predictive Analytics 212

AWS Big Data

FEBRUARY 22, 2023

The analytic team could only produce weekly and monthly reports. This delay in report frequency impacted delivering important insights to management, and they couldn’t move fast enough to anticipate changes in their business. The method used to create analytic dashboards was manual and could only produce a few routine reports.

Data Lake 52

Data Lake Dashboards Cost-Benefit Metadata 52

Octopai

JANUARY 31, 2022

If you’re a mystery lover, I’m sure you’ve read that classic tale: Sherlock Holmes and the Case of the Deceptive Data, and you know how a metadata catalog was a key plot element. In The Case of the Deceptive Data, Holmes is approached by B.I. Guy after his quarterly report to management is charged as being inaccurate and misleading.

Metadata 77

Metadata IT Unstructured Data IoT 77

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? Basic SEO metrics. Moreover, getting this data takes just a few minutes. Keyword research. Competitor activity analysis.

Data-driven 91

Data-driven Sales Big Data Marketing 91

AWS Big Data

APRIL 19, 2023

Every day, customers are challenged with how to manage their growing data volumes and operational costs to unlock the value of data for timely insights and innovation, while maintaining consistent performance. As data workloads grow, costs to scale and manage data usage with the right governance typically increase as well.

Data Warehouse 55

Data Warehouse Data Lake Unstructured Data Optimization 55

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. Because a huge amount of data existed in a company’s mainframe computer (particularly data related to profits, costs, revenue, etc.),

Dashboards 316

Dashboards KPI Sales Visualization 316

Sisense

MAY 11, 2021

Maybe one of the most common applications of a data model is for internal analysis and reporting through a BI tool. In these cases, we typically see raw data restructured into facts and dimensions that follow Kimball Modeling practices. Reporting Reporting contains the flattest and most cleaned version of our data.

Modeling 84

Modeling Big Data IoT Data Warehouse 84

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

Sisense

OCTOBER 16, 2019

The metrics need to fit the organization and not the other way around. The lower level metrics should be derived from the way you measure the high-level ones. Keep it simple: Even for bigger projects, you should aim to end up with a number of metrics that you need less than two hands to count.

Management 76

Management IT Dashboards Business Intelligence 76

bridgei2i

FEBRUARY 24, 2021

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. How do you track and report the impact of these metrics on key business outcomes?

Cost-Benefit 92

Cost-Benefit Recreation/Entertainment Digital Transformation Scorecard 92

AWS Big Data

FEBRUARY 21, 2023

The data vault approach solves most of the problems associated with dimensional models, but it brings other challenges in clinical quality control applications and regulatory reports. This is one of the biggest hurdles with the data vault approach. It optimizes the database for faster data retrieval.

Data Warehouse 67

Data Warehouse Data Lake Cost-Benefit Modeling 67

Jet Global

JUNE 18, 2019

From social networks to inventory management tools to internet-connected devices (the Internet of Things), data that will help businesses better understand their employees, customers, inventory, and processes are being generated at an exponentially faster rate every day. According to DOMO’s annual report on data generation , over 2.5

Big Data 75

Big Data Software Data Analytics Analytics 75

Data Insight

OCTOBER 27, 2021

For example, looking at groups of data to compare certain metrics and then taking action or highlighting insights to employees, or searching a large breadth of data to find new perspectives on business challenges. Always-on rapid decisioning While Data Analysts can be highly skilled at what they do, they aren’t available 24/7.

Machine Learning 52

Machine Learning Insurance Cost-Benefit Unstructured Data 52

Jedox

FEBRUARY 13, 2019

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. Our processes will be standardized at a global level and our reports will be automated and mimic human actions through existing user interfaces based on pre-defined rules.

IT 54

IT Finance Cost-Benefit Unstructured Data 54

datapine

FEBRUARY 22, 2022

Find out what is working, as you don’t want to totally scrap an already essential report or process. What data analysis questions are you unable to currently answer? You should be continually measuring and refining your processes, data and reports. On the flip side, document everything that isn’t working.

Business Intelligence 218

Business Intelligence Strategy Cost-Benefit Key Performance Indicator 218

Alation

MARCH 21, 2023

To fully realize data’s value, organizations in the travel industry need to dismantle data silos so that they can securely and efficiently leverage analytics across their organizations. What is big data in the travel and tourism industry?

Data Analytics 52

Data Analytics Analytics Data-driven Big Data 52

Jet Global

OCTOBER 3, 2019

From social networks to inventory management tools to internet-connected devices (the Internet of Things), data that will help businesses better understand their employees, customers, inventory, and processes are being generated at an exponentially faster rate every day. According to DOMO’s annual report on data generation , over 2.5

Big Data 53

Big Data Software Data Analytics Analytics 53

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

Occam's Razor

NOVEMBER 5, 2007

Every solid web decision making program (call it Web Analytics or Web Metrics or Web Insights or Customer Intelligence or whatever) in a company will need to solve for the Five Pillars: ClickStream, Multiple Outcomes, Experimentation & Testing, Voice of Customer and Competitive Intelligence. Idiot proof fast installation.

Analytics 98

Analytics Experimentation Metrics Measurement 98

AWS Big Data

JUNE 9, 2023

Despite these capabilities, data lakes are not databases, and object storage does not provide support for ACID processing semantics, which you may require to effectively optimize and manage your data at scale across hundreds or thousands of users using a multitude of different technologies.

Data Lake 115

Data Lake Metadata Optimization Statistics 115