CIO Business Intelligence

APRIL 25, 2022

You can think that the general-purpose version of the Databricks Lakehouse as giving the organization 80% of what it needs to get to the productive use of its data to drive business insights and data science specific to the business. Features focus on media and entertainment firms. Partner solutions to boost functionality, adoption.

Recreation/Entertainment 119

Recreation/Entertainment Data Lake Data Warehouse Unstructured Data 119

AWS Big Data

APRIL 17, 2023

We design, implement, maintain, and optimize award-winning ecommerce platforms end to end. We have built data pipelines to process, aggregate, and clean our data for our forecasting service. Prior to the engagement, the pipeline was processing 28 days’ worth of historical data in approximately 70 minutes.

Forecasting 80

Forecasting Cost-Benefit Optimization Testing 80

Cloudera

JANUARY 20, 2021

Most of what is written though has to do with the enabling technology platforms (cloud or edge or point solutions like data warehouses) or use cases that are driving these benefits (predictive analytics applied to preventive maintenance, financial institution’s fraud detection, or predictive health monitoring as examples) not the underlying data.

Digital Transformation 107

Digital Transformation Manufacturing Data Warehouse Predictive Analytics 107

Cloudera

NOVEMBER 12, 2020

Cloud has given us hope, with public clouds at our disposal we now have virtually infinite resources, but they come at a different cost – using the cloud means we may be creating yet another series of silos, which also creates unmeasurable new risks in security and traceability of our data. We see it everywhere.

Data Warehouse 103

Data Warehouse Reporting Risk Cost-Benefit 103

Sisense

AUGUST 4, 2021

Infusing intelligence everywhere is where Sisense shines, which is why in Q2 we’ve invested in bringing you Infusion Apps that leverage our brand new Extense Framework along with other features that allow you to explore new dimensions of your data. Optimize your cloud data warehouse cost forecasting.

Dashboards 52

Dashboards Analytics Data Warehouse Forecasting 52

CIO Business Intelligence

FEBRUARY 16, 2023

The company’s orthodontics business, for instance, makes heavy use of image processing to the point that unstructured data is growing at a pace of roughly 20% to 25% per month. For example, imaging data can be used to show patients how an aligner will change their appearance over time. “It The offensive side?

Unstructured Data 105

Unstructured Data Data Lake Prescriptive Analytics Digital Transformation 105

AWS Big Data

MARCH 29, 2024

QuickSight makes it straightforward for business users to visualize data in interactive dashboards and reports. Analyzing historical patterns allows you to optimize performance, identify issues proactively, and improve planning. Under Browse assets , choose Analysis. Search for GlueObservabilityAnalysis, and select it. Choose SHARE.

Metrics 108

Metrics Visualization Dashboards Interactive 108

CIO Business Intelligence

JULY 18, 2022

To fully capitalize on data-first modernization, organizations need secure access to data spread across the IT landscape. Data is in constant flux, due to exponential growth, varied formats and structure, and the velocity at which it is being generated. An ISV ecosystem at work.

Cost-Benefit 96

Cost-Benefit Data Lake Data Warehouse Enterprise 96

CIO Business Intelligence

MARCH 16, 2022

The same goes for the adoption of data warehouse and business intelligence. The telecom sector prepares the data warehouse and business intelligence use cases even before they go live with their first customer. With regard to analytics in general, sadly, many organisations fail in their efforts to become data-driven.

Technology 115

Technology Digital Transformation Business Intelligence Data Warehouse 115

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.

Data Warehouse 89

Data Warehouse Data-driven Dashboards Sales 89

Jet Global

MAY 6, 2020

With licensing agreements, for instance, revenue must now be recognized upfront, making it difficult to compare current recent financial statements against past statements for the purposes of forecasting and strategic planning. Based on that lived experience, NetSuite optimized its product to simplify ASC 606 internally.

Forecasting 59

Forecasting Data Warehouse Software Reporting 59

CIO Business Intelligence

JUNE 14, 2023

Certification of Professional Achievement in Data Sciences The Certification of Professional Achievement in Data Sciences is a nondegree program intended to develop facility with foundational data science skills. It requires completion of the CAP exam and adherence to the CAP Code of Ethics.

Big Data 126

Big Data Data Analytics Analytics Predictive Modeling 126

Smart Data Collective

JULY 20, 2021

Big data technology is incredibly important in modern business. One of the most important applications of big data is with building relationships with customers. These software tools rely on sophisticated big data algorithms and allow companies to boost their sales, business productivity and customer retention.

Sales 141

Sales Big Data Marketing Software 141

CIO Business Intelligence

SEPTEMBER 8, 2022

Most organizations understand the profound impact that data is having on modern business. In Foundry’s 2022 Data & Analytics Study , 88% of IT decision-makers agree that data collection and analysis have the potential to fundamentally change their business models over the next three years.

Cost-Benefit 122

Cost-Benefit Internet of Things Data-driven Data Lake 122

Sisense

MARCH 14, 2021

Attempting to learn more about the role of big data (here taken to datasets of high volume, velocity, and variety) within business intelligence today, can sometimes create more confusion than it alleviates, as vital terms are used interchangeably instead of distinctly. Big data challenges and solutions.

Big Data 52

Big Data IoT Data Warehouse Data-driven 52

IBM Big Data Hub

OCTOBER 16, 2023

Marketers use ML for lead generation, data analytics, online searches and search engine optimization (SEO). ML algorithms and data science are how recommendation engines at sites like Amazon, Netflix and StitchFix make recommendations based on a user’s taste, browsing and shopping cart history.

Machine Learning 51

Machine Learning Marketing Forecasting Modeling 51

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 56

Data Warehouse Data Lake Unstructured Data Optimization 56

IBM Big Data Hub

JULY 6, 2023

What is data science? Data science is a broad, multidisciplinary field that extracts value from today’s massive data sets. It uses advanced tools to look at raw data, gather a data set, process it, and develop insights to create meaning. That’s where data science comes in.

Machine Learning 61

Machine Learning Data Science Statistics Deep Learning 61

AWS Big Data

MARCH 25, 2024

They can perform a wide range of different tasks, such as natural language processing, classifying images, forecasting trends, analyzing sentiment, and answering questions. FMs are multimodal; they work with different data types such as text, video, audio, and images. Batch processing is not the best fit in this scenario.

Data Lake 93

Data Lake Unstructured Data Management Modeling 93

Jet Global

JUNE 5, 2019

So how does a leading-edge business find a way to marry their wealth of data with the opportunity to utilize it effectively via BI software? Let’s introduce the concept of data mining. Toiling Away in the Data Mines. Analysis: Application software analyzes and sorts the data based on incoming queries from the end user.

Data mining 75

Data mining Business Intelligence OLAP Key Performance Indicator 75

AWS Big Data

FEBRUARY 1, 2023

With data volumes exhibiting a double-digit percentage growth rate year on year and the COVID pandemic disrupting global logistics in 2021, it became more critical to scale and generate near-real-time data. This introduces the need for both polling and pushing the data to access and analyze in near-real time.

Optimization 52

Optimization Forecasting Data Lake Metadata 52

Jet Global

JULY 11, 2019

One of those areas is called predictive analytics, where companies extract information from existing data to determine buying patterns and forecast future trends. By using a combination of data, statistical algorithms, and machine learning techniques, predictive analytics identifies the likelihood of future outcomes based on the past.

Business Intelligence 72

Business Intelligence Forecasting Data Warehouse Predictive Analytics 72

FineReport

MAY 31, 2023

In today’s dynamic business environment, gaining comprehensive visibility into financial data is crucial for making informed decisions. Budget variance quantifies the discrepancy between budgeted and actual figures, enabling forecasters to make more accurate predictions regarding future costs and revenues.

Dashboards 52

Dashboards Key Performance Indicator Metrics Visualization 52

Birst BI

AUGUST 27, 2019

Transforming this data into key business metrics that monitor sales, profit, inventory and people are key for the decision maker to take the next best action. This information is commonly spread across multiple systems and cannot be quickly transformed, resulting in siloed reporting and sub-optimal decision making. Attend Sept.

Sales 40

Sales Key Performance Indicator Strategy Business Intelligence 40

AWS Big Data

JULY 13, 2023

To succeed further, their vision of data requires it to be accessible and actionable to all, with key roles and responsibilities defined by those who produce and consume data, as shown in the following figure. The AWS Glue crawler populates the table definition with its schema in AWS Glue Data Catalog.

Optimization 91

Optimization B2B Data Quality Sales 91

Jet Global

OCTOBER 1, 2019

One of those areas is called predictive analytics, where companies extract information from existing data to determine buying patterns and forecast future trends. By using a combination of data, statistical algorithms, and machine learning techniques, predictive analytics identifies the likelihood of future outcomes based on the past.

Business Intelligence 40

Business Intelligence Forecasting Data Warehouse Predictive Analytics 40

Ms SQL Girl

MARCH 30, 2015

Julie Koesmarno, SQL Server MVP, MCSE Data Platform, MCSE Business Intelligence, Microsoft Certified Trainer, is a SQL Server and BI consultant, with a Bachelor’s degree in IT. Her recent projects include delivering a SQL Server 2012 Data Warehouse and BI solutions for a number of high profile clients in the US and Australia.

Dashboards 40

Dashboards Visualization KPI Interactive 40

Ms SQL Girl

MARCH 30, 2015

Julie Koesmarno, SQL Server MVP, MCSE Data Platform, MCSE Business Intelligence, Microsoft Certified Trainer, is a SQL Server and BI consultant, with a Bachelor’s degree in IT. Her recent projects include delivering a SQL Server 2012 Data Warehouse and BI solutions for a number of high profile clients in the US and Australia.

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 92

Technology Forecasting Data Warehouse Reporting 92

CIO Business Intelligence

JUNE 29, 2022

Insights hidden in your data are essential for optimizing business operations, finetuning your customer experience, and developing new products — or new lines of business, like predictive maintenance. It is geared toward IT chiefs who want to be chief data officers, not chief integration officers, he suggests.

Data Lake 116

Data Lake Analytics Data Warehouse Machine Learning 116

AWS Big Data

NOVEMBER 15, 2023

BMW Group uses 4,500 AWS Cloud accounts across the entire organization but is faced with the challenge of reducing unnecessary costs, optimizing spend, and having a central place to monitor costs. The ultimate goal is to raise awareness of cloud efficiency and optimize cloud utilization in a cost-effective and sustainable manner.

Dashboards 97

Dashboards Analytics Metadata Data Warehouse 97

Sisense

DECEMBER 3, 2019

But in reality, data by itself has no value. Even though we create a tremendous amount of it (90% of the world’s data was created in the past year), research shows that we are only using 1% of this data. The rapid growth of data volumes has effectively outstripped our ability to process and analyze it.

Data Warehouse 90

Data Warehouse Analytics Digital Transformation Forecasting 90

IBM Big Data Hub

DECEMBER 7, 2023

This siloed approach often resulted in data redundancy and complexity, hampering integration with other business systems. C-OLAP optimized data storage for faster query processing, while IM-OLAP stored data in memory to minimize data access latency and enable real-time analytics.

OLAP 64

OLAP Slice and Dice Cost-Benefit Data Warehouse 64

IBM Big Data Hub

MAY 9, 2023

IBM today announced it is launching IBM watsonx.data , a data store built on an open lakehouse architecture, to help enterprises easily unify and govern their structured and unstructured data, wherever it resides, for high-performance AI and analytics.

Data Warehouse 81

Data Warehouse Cost-Benefit Recreation/Entertainment Unstructured Data 81

IBM Big Data Hub

OCTOBER 4, 2023

Artificial intelligence (AI) is now at the forefront of how enterprises work with data to help reinvent operations, improve customer experiences, and maintain a competitive advantage. It’s no longer a nice-to-have, but an integral part of a successful data strategy. Why does AI need an open data lakehouse architecture?

Data Lake 87

Data Lake Metadata Cost-Benefit Data Warehouse 87

Sisense

JANUARY 6, 2020

Analytics and sales should partner to forecast new business revenue and manage pipeline, because sales teams that have an analyst dedicated to their data and trends, drive insights that optimize workflows and decision making. Analysts can use SQL as a more powerful tool than Salesforce to model messy sales data.

Sales 91

Sales Forecasting Snapshot Management 91

AWS Big Data

FEBRUARY 20, 2024

Transactional data volumes and velocity have continued to rapidly expand as workloads have been pushed online. Near-real-time data is data stored, processed, and analyzed on a continual basis. DynamoDB is a managed NoSQL database solution that acts as a key-value store for transactional data.

Visualization 102

Visualization Cost-Benefit Optimization B2B 102