Smart Data Collective

JUNE 8, 2023

We have talked extensively about the many industries that have been impacted by big data. many of our articles have centered around the role that data analytics and artificial intelligence has played in the financial sector. However, many other industries have also been affected by advances in big data technology.

Data Analytics 83

Data Analytics Analytics Data Collection Statistics 83

FineReport

JUNE 11, 2021

Also, we will give a brief introduction of what business analysts should do and the tools often used for BI&A. Business intelligence and analytics (BI&A) and the related field of big data analytics have emerged as an increasingly important area in the business communities. Business Analytics.

Business Intelligence 98

Business Intelligence Analytics Dashboards Statistics 98

datapine

AUGUST 21, 2019

8) Revenue And Sales Interactive Management Overview. This is a really fun interactive sales graph, as it lets you see your revenue and sales according to different time periods that you select. This is a business report example worth exploring since it can provide all the details for a strategic sales development of a company.

Sales 235

Sales Dashboards KPI Visualization 235

Smart Data Collective

APRIL 3, 2022

More companies than ever are investing in big data. However, many feel that their data strategies are not proving to be effective. According to a report by VentureBeat, only 13% of companies feel that their data strategies are providing the results they are looking for.

Data Strategy 97

Data Strategy Strategy Data-driven Big Data 97

Smart Data Collective

MARCH 25, 2021

Business reporting has been around for a long time but the tools and techniques of business intelligence have refined over time and now with the recent popularity of data driven business approach, data has been identified as the most valuable asset of a business and data analytics and reporting has finally found a key place in the business world.

Data-driven 124

Data-driven Analytics Business Intelligence Dashboards 124

IBM Big Data Hub

JANUARY 24, 2020

This story is part of Analytics Heroes, a series of profiles on leaders transforming the future of business analytics. Some data has organization, some does not. Some data has organization, some does not. I like bringing those skills to what I do, but also interacting with people.”

Interactive 76

Interactive Business Analytics Management Analytics 76

FineReport

JUNE 11, 2021

Also, we will give a brief introduction of what business analysts should do and the tools often used for BI&A. Business intelligence and analytics (BI&A) and the related field of big data analytics have emerged as an increasingly important area in the business communities. Business Analytics.

Business Intelligence 52

Business Intelligence Analytics Dashboards Statistics 52

datapine

JANUARY 6, 2022

Based on that amount of data alone, it is clear the calling card of any successful enterprise in today’s global world will be the ability to analyze complex data, produce actionable insights and adapt to new market needs… all at the speed of thought. Business dashboards are the digital age tools for big data.

Visualization 246

Visualization Dashboards Cost-Benefit Measurement 246

AWS Big Data

NOVEMBER 17, 2023

Data stored in DynamoDB is the basis for valuable business intelligence (BI) insights. To make this data accessible to data analysts and other consumers, you can use Amazon Athena. Athena accesses data stored in DynamoDB via the open source Amazon Athena DynamoDB connector.

Visualization 83

Visualization Metadata Testing Internet of Things 83

Cloudera

JANUARY 5, 2021

Retail supply chains are a recognized and proven source of ROI when data analytics are leveraged to improve forecast accuracy and product availability.

Forecasting 91

Forecasting Cost-Benefit Sales Unstructured Data 91

Sisense

OCTOBER 21, 2020

Data models are the engine that powers every aspect of your company’s data program: You perform advanced analytics on them, product teams power your app’s embedded analytics, and front-line users rely on them for self-service exploration. Picking a direction for your data model.

Modeling 71

Modeling Data-driven Dashboards Interactive 71

Cloudera

APRIL 7, 2021

Changing Business Models. Data — Too much and Too little. Those carriers that embrace the use of data and analytics will realize operational efficiencies, improve customer interactions, and compete more effectively. In order to get from here to there, insurance companies need to focus on data management.

Insurance 59

Insurance Digital Transformation Internet of Things IoT 59

Sisense

JANUARY 30, 2020

In Data-Powered Businesses , we dive into the ways that companies of all kinds are digitally transforming to make smarter data-driven decisions, monetize their data, and create companies that will thrive in our current era of Big Data.

Analytics 93

Analytics Data-driven Digital Transformation Dashboards 93

AWS Big Data

FEBRUARY 16, 2023

Amazon Redshift is the most widely used data warehouse in the cloud, best suited for analyzing exabytes of data and running complex analytical queries. Amazon QuickSight is a fast business analytics service to build visualizations, perform ad hoc analysis, and quickly get business insights from your data.

Data Warehouse 80

Data Warehouse Sales Visualization Data Processing 80

Rita Sallam

JULY 22, 2016

It is defined by a self-contained architecture that enables nontechnical users to autonomously execute full-spectrum analytic workflows from data access, ingestion and preparation to interactive analysis, and the collaborative sharing of insights. Sisense supports a wide range of relational, NoSQL and big data sources.

Analytics 40

Analytics Business Intelligence Metadata Statistics 40

datapine

SEPTEMBER 11, 2019

By 2025, the global BI and analytics market is expected to soar to a worth of $147.19 Businesses will create and manage 60% of the world’s data by 2025. 85% of business leaders believe that big data will change the way they do business, significantly, especially in the personalization potential of intelligence.

Business Intelligence 161

Business Intelligence Analytics Sales Dashboards 161

Domino Data Lab

JULY 22, 2019

By virtue of that, if you take those log files of customers interactions, you aggregate them, then you take that aggregated data, run machine learning models on them, you can produce data products that you feed back into your web apps, and then you get this kind of effect in business. That was the origin of big data.

Data Science 109

Data Science Machine Learning Data Governance Modeling 109

datapine

MAY 27, 2020

Traditional types of analytical reports typically consist of a title page, table of contents, introduction, methodology, body section, conclusions, recommendations, and a bibliography. But with dynamic, interactive dashboard reporting software , your structure will be far simpler and more holistic.

Reporting 245

Reporting Analytics Dashboards Sales 245

datapine

MAY 16, 2019

Exclusive Bonus Content: Ready to use data analytics in your restaurant? Get our free bite-sized summary for increasing your profits through data! Data offers the power to gain an objective, accurate, and comprehensive view of your restaurant’s daily functions. What Are Restaurant Analytics?

Analytics 163

Analytics Predictive Analytics Advertising Dashboards 163

Cloudera

NOVEMBER 18, 2020

It hosts over 150 big data analytics sandboxes across the region with over 200 users utilizing the sandbox for data discovery. With this functionality, business units can now leverage big data analytics to develop better and faster insights to help achieve better revenues, higher productivity, and decrease risk. .

Internet Publishing and Broadcasting 123

Internet Publishing and Broadcasting Data-driven Broadcasting Digital Transformation 123

Rocket-Powered Data Science

JULY 14, 2023

The corresponding growth of system-wide analytics product development and deployment has made the enterprise data infrastructure a significant variable in the equation of business analytics success. Pure analytics solutions can boost performance all across that data environment. These may not be high risk.

Analytics 166

Analytics Internet of Things Prescriptive Analytics Data Science 166

AWS Big Data

OCTOBER 11, 2023

AWS Glue is a serverless data integration service that makes it easier to discover, prepare, move, and integrate data from multiple sources for analytics, ML, and application development. Then you can use Amazon Athena V3 to query the tables in the Data Catalog.

Visualization 96

Visualization Dashboards Data-driven Gap analysis 96

Cloudera

NOVEMBER 2, 2020

Correlations across data domains, even if they are not traditionally stored together (e.g. real-time customer event data alongside CRM data; network sensor data alongside marketing campaign management data). The extreme scale of “big data”, but with the feel and semantics of “small data”.

Data Warehouse 97

Data Warehouse Optimization Dashboards Interactive 97

IBM Big Data Hub

SEPTEMBER 21, 2022

If you want to learn more, including how to create multidimensional plans, budgets and forecasts, explore interactive dashboards and reports, and discover pre-built solutions by industry or use case, you can get started today with a 30-day free trial or request a demo of IBM Planning Analytics with Watson.

Analytics 56

Analytics Forecasting Risk Data-driven 56

Rocket-Powered Data Science

OCTOBER 6, 2023

Decades (at least) of business analytics writings have focused on the power, perspicacity, value, and validity in deploying predictive and prescriptive analytics for business forecasting and optimization, respectively. Now that we have described predictive and prescriptive analytics in detail, what is there left?

Business Analytics 157

Business Analytics Prescriptive Analytics Analytics Diagnostic Analytics 157

Sisense

JUNE 26, 2019

By the late 1990s, it was estimated that businesses around the world spent $10 billion per year on these types of enterprise systems. It was a big investment that is still viable, and one that forms the legacy databases of many companies today. . Fast forward to Big Data. The Right One. Serving Up Insights.

Enterprise 75

Enterprise Data Warehouse Dashboards Modeling 75

Peter James Thomas

AUGUST 12, 2018

As Neil puts it in his article: […] technology is never a solution to social problems, and interactions between human beings are inherently social. Especially for all Business Analytics professionals out there (2009). [7]. See in particular my trilogy: Using historical data to justify BI investments – Part I (2011).

Metrics 49

Metrics Statistics Data Quality Measurement 49

Occam's Razor

MARCH 10, 2015

You can take advantage of the Universal Analytics User-ID override feature to combine all the hits from these multiple visits/sessions and identify them with the same person. Universal Analytics: T3: Measurement Protocol! Do you believe we are headed towards unified business analytics? Another scary name.

Strategy 151

Strategy Analytics Measurement Business Analysis 151

datapine

FEBRUARY 22, 2022

4) How To Create A Business Intelligence Strategy. Odds are you know your business needs business intelligence (BI). Over the past 5 years, big data and BI became more than just data science buzzwords. Employ a Chief Data Officer (CDO). Rely on interactive data visualizations.

Business Intelligence 218

Business Intelligence Strategy Cost-Benefit Key Performance Indicator 218

Sisense

AUGUST 25, 2019

Regardless of how easy your BI platform may or may not be to use, these builders will smooth the way to valuable insights and make it simpler and more effective for business users to interact with data. Push the limits of data analysis. Use a technology that stretches the limits of data analytics.

Data-driven 75

Data-driven Slice and Dice Sales Reporting 75

datapine

MAY 17, 2021

In the digital age, those who can squeeze every single drop of value from the wealth of data available at their fingertips, discovering fresh insights that foster growth and evolution, will always win on the commercial battlefield. Moreover, 83% of executives have pursued big data projects to gain a competitive edge.

Visualization 161

Visualization Data-driven Business Intelligence Metrics 161

datapine

NOVEMBER 27, 2019

Over the past decade, business intelligence has been revolutionized. Data exploded and became big. Spreadsheets finally took a backseat to actionable and insightful data visualizations and interactive business dashboards. The rise of self-service analytics democratized the data product chain.

Business Intelligence 361

Business Intelligence Analytics Prescriptive Analytics Data Quality 361

IBM Big Data Hub

AUGUST 4, 2023

Architecture for data democratization Data democratization requires a move away from traditional “data at rest” architecture, which is meant for storing static data. Traditionally, data was seen as information to be put on reserve, only called upon during customer interactions or executing a program.

Data Architecture 59

Data Architecture Data Lake Machine Learning Data Governance 59

Sisense

MAY 18, 2020

In Data-Powered Businesses , we dive into the ways that companies of all kinds are digitally transforming to make smarter data-driven decisions, monetize their data, and create companies that will thrive in our current era of Big Data. New people interact with the data.

Analytics 98

Analytics Digital Transformation Data-driven Sales 98

Cloudera

FEBRUARY 22, 2021

For future acquisitions, the two different CDP form factors ( CDP Private Cloud and CDP Public Cloud ) will serve as the single landing zone for all big data workloads of the acquired entity, accelerating IT integration activities and ensuring technology standardization and rationalization between our client and the acquired entity.

Cost-Benefit 82

Cost-Benefit Data Warehouse Data Processing Data Governance 82

Jet Global

MAY 9, 2024

By processing data as it arrives, streaming data pipelines support more dynamic and agile decision-making. Here’s how a streaming data pipeline typically works: Data is ingested continuously from one or more sources, such as sensors, log files, user interactions, IoT devices, social media feeds, or other real-time data streams.

Data Lake 52

Data Lake Data Warehouse Business Intelligence Machine Learning 52