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. To gain employee buy-in, Stout’s team builds BI dashboards to show them how they can easily connect to and interact with their data, as well as visualize it in a meaningful way.

IT 129

IT Business Intelligence Sales Key Performance Indicator 129

AWS Big Data

MAY 28, 2024

The key to unlock the full potential of this real-time data lies in your ability to effectively make sense of it and transform it into actionable insights in real time. After the data is in Amazon Redshift, you can create a business report using QuickSight. AWS IoT Core can stream ingested data into Kinesis Data Streams.

IoT 93

IoT Analytics Dashboards Data-driven 93

datapine

MAY 9, 2019

Business intelligence concepts refer to the usage of digital computing technologies in the form of data warehouses, analytics and visualization with the aim of identifying and analyzing essential business-based data to generate new, actionable corporate insights. They enable powerful data visualization.

Business Intelligence 270

Business Intelligence Dashboards Data Warehouse Sales 270

Sisense

DECEMBER 3, 2019

The rapid growth of data volumes has effectively outstripped our ability to process and analyze it. The first wave of digital transformations saw a dramatic decrease in data storage costs. On-demand compute resources and MPP cloud data warehouses emerged. Thriving in a changing world: AI and multiple clouds.

Data Warehouse 90

Data Warehouse Analytics Digital Transformation Forecasting 90

AWS Big Data

DECEMBER 21, 2023

To speed up the self-service analytics and foster innovation based on data, a solution was needed to provide ways to allow any team to create data products on their own in a decentralized manner. To create and manage the data products, smava uses Amazon Redshift , a cloud data warehouse.

Data Lake 91

Data Lake Data Warehouse Data-driven B2B 91

Cloudera

FEBRUARY 8, 2021

You can read part 1, here: Digital Transformation is a Data Journey From Edge to Insight. Geolocation data is also stored, which will help map customer locations to latitudes and longitudes to better understand where these motors are located after being sold in a vehicle. 2 ECC data enrichment pipeline.

Manufacturing 116

Manufacturing Data Warehouse Sales Predictive Analytics 116

Jen Stirrup

MARCH 29, 2023

Organisations are looking at ways of simplifying data; for example, through simple rebranding efforts to disguise the complexity. However, SAP Datasphere goes much deeper deeper than a simple rebranding; it is the next generation of SAP Data Warehouse Cloud.

Metadata 121

Metadata Data Warehouse Data Integration Business Intelligence 121

Sisense

APRIL 26, 2020

Read on to explore more about structured vs unstructured data, why the difference between structured and unstructured data matters, and how cloud data warehouses deal with them both. Structured vs unstructured data. However, both types of data play an important role in data analysis.

Unstructured Data 52

Unstructured Data Data Warehouse Structured Data Data mining 52

CIO Business Intelligence

DECEMBER 19, 2022

We have ensured that all our data is generated and stored in a single place in a manner such that anybody can consume and use it. We have mandated that any new microservices or applications will not be put into production if they are not pushing the required data elements into the data warehouse. With ChatGPT, DALL.E,

Data Warehouse 113

Data Warehouse Finance Machine Learning Technology 113

AWS Big Data

NOVEMBER 15, 2023

They can use their own toolsets or rely on provided blueprints to ingest the data from source systems. Once released, consumers use datasets from different providers for analysis, machine learning (ML) workloads, and visualization. The difference lies in when and where data transformation takes place.

Dashboards 97

Dashboards Analytics Metadata Data Warehouse 97

Sisense

JUNE 8, 2020

Every company is becoming a data company. 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.

Data Warehouse 89

Data Warehouse Data-driven Dashboards Sales 89

Smarten

DECEMBER 19, 2023

Your business users are not IT professionals or data scientists, and they need tools that allow them to work in an intuitive way. Machine learning ensures that the system can better anticipate the issues and present the best visualization technique for a certain type of data, etc.

Analytics 62

Analytics Machine Learning Sales Data Warehouse 62

IBM Big Data Hub

JULY 17, 2023

By supporting open-source frameworks and tools for code-based, automated and visual data science capabilities — all in a secure, trusted studio environment — we’re already seeing excitement from companies ready to use both foundation models and machine learning to accomplish key tasks.

Machine Learning 64

Machine Learning Data Warehouse Modeling Cost-Benefit 64

Sisense

FEBRUARY 24, 2021

Sophisticated technical talent who are querying data and building models with languages like SQL, R, and Python need a solution that will empower them to dive deep. Platforms like Sisense enable these teams to quickly explore data through code, visualize the results, or convert them to models written back to AWS Redshift or Snowflake.

Data Warehouse 69

Data Warehouse Big Data Metrics Visualization 69

Sisense

MARCH 24, 2020

. “The dashboard is a powerful and effective collaboration tool that makes complex data easily comprehensible for everyone within customers’ organizations,” Said Sivan More, Global Director of Customer Success at Sisense, “It’s a vital way of visualizing business intelligence and revealing game-changing insights to all.

Dashboards 90

Dashboards IT Visualization Data Lake 90

Alation

OCTOBER 21, 2021

A data lakehouse combines the benefits of a data lake, including scale, efficiency, and flexibility, with the benefits of a data warehouse, which include ideal support for structured data. Alation & Your Data. This enables the best of both worlds, but does so using a modern, open architecture.

Data Lake 52

Data Lake Metadata Data Warehouse Data Governance 52

Jedox

MARCH 11, 2021

They are contrary to the approach of a data warehouse. The large, round towers are visually striking and normally used to store grain and other materials, often in rural areas. In the age of Digital Transformation, data is constantly accumulating everywhere – often automatically, without anyone really noticing.

Sales 80

Sales Optimization Digital Transformation Data Warehouse 80

AWS Big Data

NOVEMBER 14, 2023

However, in many organizations, data is typically spread across a number of different systems such as software as a service (SaaS) applications, operational databases, and data warehouses. Such data silos make it difficult to get unified views of the data in an organization and act in real time to derive the most value.

IoT 55

IoT Data-driven Data Lake Data Strategy 55

Domino Data Lab

OCTOBER 14, 2020

We’ve developed a model-driven software platform, called Climate FieldView , that captures, visualizes, and analyzes a vast array of data for farmers and provides new insight and personalized recommendations to maximize crop yield. For example, our models can show farmers how to increase their production while using less fertilizer.

Experimentation 99

Experimentation Modeling Deep Learning Testing 99

Jet Global

FEBRUARY 23, 2024

PIM enables you to test your search facets and filters using Elasticsearch to present your PIM data in the same way that your website presents your products to customers. Boost Performance Good PIM isn’t just about data, it’s about maximizing the productivity of your team while improving their job satisfaction.

Management 52

Management Sales Publishing Data Quality 52

Alation

JUNE 9, 2021

We have an explosion, not only in the raw amount of data, but in the types of database systems for storing it ( db-engines.com ranks over 340) and architectures for managing it (from operational datastores to data lakes to cloud data warehouses). Organizations are drowning in a deluge of data.

Data Governance 59

Data Governance Data-driven Machine Learning Data Lake 59

Jet Global

NOVEMBER 7, 2023

Now, as we head into 2024, CFOs continue to seek balance and efficiency through digital transformation. Meanwhile, Robert Half recruitment data shows that nearly 90% of hiring managers are having a hard time finding skilled talent to join their finance teams.

Finance 52

Finance Uncertainty Reporting Marketing 52

Jet Global

MARCH 25, 2020

Not having direct access to the data you need hinders your ability to deliver on-demand reporting. Do you need to provide visualizations to help other departments manage their costs and expenses? Do you need to validate master data in your reporting? Do you depend on IT or power users to do this for you?

Reporting 45

Reporting Finance Sales Visualization 45

Jet Global

MAY 18, 2022

Composable data and infrastructures involve the storage and distribution of various resources to remote devices or machines. The ability of the two tools to talk to each other opens the door for analysts to combine their power within applications and easily share results via dashboards or visualizations.

Analytics 52

Analytics Reporting Software Enterprise 52

Jet Global

JUNE 27, 2023

When working with AI, it’s essential to double-check that the data is accurate; don’t just take it on faith that the finished product is correct. This is particularly important for visual reports, as tables/graphs and their accompanying descriptions may not always align the way you expect them to.

Finance 52

Finance Cost-Benefit Forecasting Reporting 52

Jet Global

APRIL 30, 2021

Second, boost finance’s role in managing data, whether consolidating, simplifying, or controlling the flood of information flowing across the organization. Third, strengthen decision-making through widespread adoption of data-visualization, advanced-analytics, and debiasing techniques. Kickstarting Change.

Finance 98

Finance Recreation/Entertainment Reporting Software 98

Alation

FEBRUARY 13, 2020

With TrustCheck, data analysts see color-coded visual cues whenever they use a questionable source, right in their natural workflow in real-time, whether they’re working in Alation Compose, in Tableau or in SalesForce Einstein Analytics. Is it also being used with other visualization tools or other sources or other applications?

Dashboards 52

Dashboards Data-driven Visualization Data Quality 52

Alation

AUGUST 26, 2021

Data intelligence has thus evolved to answer these questions, and today supports a range of use cases. Examples of Data Intelligence use cases include: Data governance. Cloud Transformation. Cloud Data Migration. Digital Transformation. Data Intelligence and Data Governance.

Metadata 64

Metadata Data Governance Dashboards Software 64

Data Virtualization

APRIL 30, 2020

We are in the midst of a significant transformation in each and every sphere of business. The way products are getting manufactured is being transformed with automation, robotics, and. We are witnessing an Industrial 4.0 revolution across the industrial sectors.

Manufacturing 52

Manufacturing Digital Transformation Optimization Data Warehouse 52

Andrew White

JANUARY 11, 2021

As such any Data and Analytics strategy needs to incorporate data sovereignty as per of its D&A governance program. Coding skills – SQL, Python or application familiarity – ETL & visualization? See recorded webinars: Emerging Practices for a Data-driven Strategy. Link Data to Business Outcomes.

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52