Cloudera

NOVEMBER 12, 2020

At these times, they run business growth reports, shareholder reports, and financial reports for their earnings calls, to name a few examples. Moving to a cloud-only based model allows for flexible provisioning, but the costs accrued for that strategy rapidly negate the advantage of flexibility. . A solution.

Data Warehouse 103

Data Warehouse Reporting Risk Cost-Benefit 103

CIO Business Intelligence

DECEMBER 1, 2022

Tapped to guide the company’s digital journey, as she had for firms such as P&G and Adidas, Kanioura has roughly 1,000 data engineers, software engineers, and data scientists working on a “human-centered model” to transform PepsiCo into a next-generation company. billion in revenue. billion in revenue.

Digital Transformation 144

Digital Transformation IoT Data-driven KPI 144

Jet Global

MAY 6, 2020

That’s a big enough process on its own, but it’s accompanied by the need to update systems , policies, and reporting practices to reflect the details of ASC 606, which are extensive. Things like mergers and acquisitions or highly-variable software transaction models also become vastly more complicated than they already were.

Forecasting 59

Forecasting Data Warehouse Software Reporting 59

CIO Business Intelligence

SEPTEMBER 6, 2022

When Steve Pimblett joined The Very Group in October 2020 as chief data officer, reporting to the conglomerate’s CIO, his task was to help the enterprise uncover value in its rich data heritage. It was very fragmented, and I brought it together into a hub-and-spoke model.”. We’re a Power BI shop,” he says. “I

IT 98

IT Forecasting Data Lake Enterprise 98

Sisense

JUNE 8, 2020

Datasets are on the rise and most of that data is on the cloud. The recent rise of cloud data warehouses like Snowflake means businesses can better leverage all their data using Sisense seamlessly with products like the Snowflake Cloud Data Platform to strengthen their businesses. “The

Data Warehouse 89

Data Warehouse Data-driven Dashboards Sales 89

Sisense

MARCH 14, 2021

AI-driven analytics is a complex field: The bottom line is that datasets of all kinds are rapidly growing, causing these organizations to investigate big data reporting tools or even approach companies whose whole business model can be summed up as “big data as a service” in order to make sense of them.

Big Data 52

Big Data IoT Data Warehouse Data-driven 52

Jet Global

JANUARY 15, 2021

In the world of ERP software, switching costs include a number of hard costs like license fees, system analysis and design, customization, third-party add-ons, report design, and more, but many of those tasks also consume valuable staff time and management attention. Reporting as a Key Cost-driver.

Cost-Benefit 72

Cost-Benefit Data Lake Reporting OLAP 72

FineReport

JULY 22, 2021

Business Intelligence(BI) is defined as the concept of using modern data warehouse technology, online analysis and processing technology, data mining and data display technology for data analysis to achieve business value. Many companies do not know how to choose the right tool when selecting BI or report software.

Business Intelligence 52

Business Intelligence Sales Marketing Forecasting 52

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

Jet Global

DECEMBER 8, 2020

Although there are a lot of things to like about Microsoft’s flagship analytics platform, any company that plans to build its financial reporting and analytics on Power BI should plan for the kind of cost, complexity, and risk that comes with a large-scale software project. Power BI doesn’t come with any reports out of the box.

Finance 52

Finance Risk Reporting Software 52

Jet Global

JUNE 5, 2019

Business intelligence (BI) software can help by combining online analytical processing (OLAP), location intelligence, enterprise reporting, and more. If data is the fuel driving opportunities for optimization, data mining is the engine—converting that raw fuel into forward motion for your business.

Data mining 75

Data mining Business Intelligence OLAP Key Performance Indicator 75

FineReport

MAY 31, 2023

A financial dashboard, one of the most important types of data dashboards , functions as a business intelligence tool that enables finance and accounting teams to visually represent, monitor, and present financial key performance indicators (KPIs). These reports include the cash flow statement, income statement, and balance sheet.

Dashboards 52

Dashboards Key Performance Indicator Metrics Visualization 52

Smarten

NOVEMBER 22, 2017

Fortunately, today’s new self-serve business intelligence solutions allow for ease-of-use, bringing together these varied techniques in a simple interface with tools that allow business users to utilize advanced analytics without the skill or knowledge of a data scientist, analyst or IT team member.

Analytics 40

Analytics IT Business Intelligence Visualization 40

Ms SQL Girl

FEBRUARY 3, 2015

Acquiring and Preparing Data for Power View and Excel. Data Modelling Patterns 101 using Power Pivot. Tips and Tricks on Charts and Data Models. Publishing and Administering Dashboards and Reports in Power BI for the Organisation. Acquiring and Preparing Data for Power View and Excel.

Dashboards 40

Dashboards KPI Interactive Publishing 40

Ms SQL Girl

FEBRUARY 3, 2015

Acquiring and Preparing Data for Power View and Excel. Data Modelling Patterns 101 using Power Pivot. Tips and Tricks on Charts and Data Models. Publishing and Administering Dashboards and Reports in Power BI for the Organisation. Acquiring and Preparing Data for Power View and Excel.

Dashboards 40

Dashboards KPI Interactive Publishing 40

Ms SQL Girl

MARCH 30, 2015

Acquiring and Preparing Data for Power View and Excel. Data Modelling Patterns 101 using Power Pivot. Tips and Tricks on Charts and Data Models. Publishing and Administering Dashboards and Reports in Power BI for the Organisation. Acquiring and Preparing Data for Power View and Excel.

Dashboards 40

Dashboards Visualization KPI Interactive 40

Ms SQL Girl

MARCH 30, 2015

Acquiring and Preparing Data for Power View and Excel. Data Modelling Patterns 101 using Power Pivot. Tips and Tricks on Charts and Data Models. Publishing and Administering Dashboards and Reports in Power BI for the Organisation. Acquiring and Preparing Data for Power View and Excel.

Dashboards 40

Dashboards Visualization KPI Interactive 40

IBM Big Data Hub

APRIL 19, 2023

Through the formation of this group, the Assessment Services division discovered multiple enterprise resource planning instances and payroll systems, a lack of standard reporting, and siloed budgeting and forecasting processes residing within a labyrinth of spreadsheets. It was chaotic.

Technology 90

Technology Forecasting Data Warehouse Reporting 90

Jet Global

OCTOBER 22, 2020

As the Microsoft Dynamics ERP products transition to a cloud-first model, Microsoft has positioned Power BI as the future of business intelligence for its Dynamics family of products. Power BI provides users with some very nice dashboarding and reporting capabilities. OLAP Cubes vs. Tabular Models. The first is an OLAP model.

Modeling 52

Modeling OLAP Reporting Sales 52

CIO Business Intelligence

JUNE 29, 2022

Analytics is the means for discovering those insights, and doing it well requires the right tools for ingesting and preparing data, enriching and tagging it, building and sharing reports, and managing and protecting your data and insights. Azure Data Factory. Azure Data Lake Analytics.

Data Lake 116

Data Lake Analytics Data Warehouse Machine Learning 116

Smart Data Collective

JUNE 16, 2022

Online analytical processing is a computer method that enables users to retrieve and query data rapidly and carefully in order to study it from a variety of angles. Trend analysis, financial reporting, and sales forecasting are frequently aided by OLAP business intelligence queries. ( see more ). This is a significant advantage.

Online Analytical Processing 131

Online Analytical Processing OLAP Analytics Data Warehouse 131

Sisense

MAY 11, 2021

You can’t talk about data analytics without talking about data modeling. The reasons for this are simple: Before you can start analyzing data, huge datasets like data lakes must be modeled or transformed to be usable. Building the right data model is an important part of your data strategy.

Modeling 84

Modeling Big Data IoT Data Warehouse 84

IBM Big Data Hub

OCTOBER 4, 2023

Why does AI need an open data lakehouse architecture? Consider this, a forecast by IDC shows that global spending on AI will surpass $300 billion in 2026, resulting in a compound annual growth rate (CAGR) of 26.5% from 2022 to 2026.

Data Lake 86

Data Lake Metadata Cost-Benefit Data Warehouse 86

Cloudera

OCTOBER 18, 2022

We were required to report back on a weekly basis with our progress and overall trajectory. However, we quickly found that our needs were more complex than the capabilities provided by the SaaS vendor and we decided to turn the power of CDP Data Warehouse onto solving our own cloud spend problem. Project CloudCost — design.

IT 90

IT Data Warehouse Dashboards Visualization 90

IBM Big Data Hub

MAY 9, 2023

With watsonx, IBM will launch a centralized AI development studio that gives businesses access to proprietary IBM and open-source foundation models, watsonx.data to gather and clean their data, and a toolkit for governance of AI. Savings may vary depending on configurations, workloads and vendors. [2]

Data Warehouse 79

Data Warehouse Cost-Benefit Recreation/Entertainment Unstructured Data 79

CIO Business Intelligence

DECEMBER 21, 2022

BI software helps companies do just that by shepherding the right data into analytical reports and visualizations so that users can make informed decisions. Determining which BI delivery method fits best There are many traditional IT-managed ways to deliver reports and insights from data. But many find other solutions.

IT 131

IT Business Intelligence Sales Key Performance Indicator 131

AWS Big Data

NOVEMBER 15, 2023

It seamlessly consolidates data from various data sources within AWS, including AWS Cost Explorer (and forecasting with Cost Explorer ), AWS Trusted Advisor , and AWS Compute Optimizer. The difference lies in when and where data transformation takes place.

Dashboards 91

Dashboards Analytics Metadata Data Warehouse 91

AWS Big Data

MARCH 26, 2024

Without C360, businesses face missed opportunities, inaccurate reports, and disjointed customer experiences, leading to customer churn. Unified customer profile Graph databases excel in modeling customer interactions and relationships, offering a comprehensive view of the customer journey. Organizations using C360 achieved 43.9%

Data Strategy 66

Data Strategy Strategy Data Warehouse Prescriptive Analytics 66

Cloudera

FEBRUARY 8, 2021

Having completed the Data Collection step in the previous blog, ECC’s next step in the data lifecycle is Data Enrichment. ECC will enrich the data collected and will make it available to be used in analysis and model creation later in the data lifecycle. 2 ECC data enrichment pipeline.

Manufacturing 119

Manufacturing Data Warehouse Sales Predictive Analytics 119

Smart Data Collective

OCTOBER 17, 2022

This proliferation of data and the methods we use to safeguard it is accompanied by market changes — economic, technical, and alterations in customer behavior and marketing strategies , to mention a few. All of that data puts a load on even the most powerful equipment. You can’t afford to waste their time on a few reports.

Big Data 106

Big Data Data-driven Recreation/Entertainment Data Governance 106

CIO Business Intelligence

MAY 24, 2022

Building a semantic layer describing unified business and reporting definitions. Unlocking the value of data with in-depth advanced analytics, focusing on providing drill-through business insights. Providing a platform for fact-based and actionable management reporting, algorithmic forecasting and digital dashboarding.

Data-driven 98

Data-driven Data Lake Data Warehouse Cost-Benefit 98

IBM Big Data Hub

OCTOBER 12, 2023

Connecting AI models to a myriad of data sources across cloud and on-premises environments AI models rely on vast amounts of data for training. Once trained and deployed, models also need reliable access to historical and real-time data to generate content, make recommendations, detect errors, send proactive alerts, etc.

Cost-Benefit 83

Cost-Benefit Metadata Data Governance Modeling 83

datapine

NOVEMBER 11, 2021

a) Data Connectors Features. d) Reporting Features. For a few years now, Business Intelligence (BI) has helped companies to collect, analyze, monitor, and present their data in an efficient way to extract actionable insights that will ensure sustainable growth. c) Join Data Sources. Table of Contents. Let’s get started!

Business Intelligence 213

Business Intelligence Dashboards Interactive Visualization 213

AWS Big Data

JULY 13, 2023

To reflect the needs of their customers spread across different geographies and industries, Altron has organized their operating model across individual Operating Companies (OpCos). The reporting zone is based on a set of Amazon Athena views, which are consumed for BI purposes. BI users create dashboards and reports in QuickSight.

Optimization 87

Optimization B2B Data Quality Sales 87

IBM Big Data Hub

MAY 17, 2023

They use drones for tasks as simple as aerial photography or as complex as sophisticated data collection and processing. billion by 2029, at a CAGR of 28.58% in the forecast period. DaaS is an intelligent, cloud-based, multi-tenant offering for data processing, data storage and data analysis.

Data Collection 84

Data Collection Visualization Data-driven Unstructured Data 84

Domino Data Lab

FEBRUARY 4, 2019

Lately there’s been lots of dialog about bias in machine learning models, though considering the noise part of the equation is an important corollary. We’d love to hear your insights and perspectives about running data teams. That approach probably created data silos between divisions, due to costs, budgets, accounting procedures, etc.

Data Science 66

Data Science Experimentation Data-driven Machine Learning 66

datapine

AUGUST 29, 2022

Data Smart’ contains enough practical knowledge to actually start performing analyses by using good old Microsoft Excel. to describe how companies can combine traditional analytics with a big data approach. Big Data at Work’ is a pleasant read, however, this approachability may be a merit for some readers and a flaw for others.

Big Data 263

Big Data Data Analytics Analytics Data mining 263