CIO Business Intelligence

MAY 25, 2022

Other key elements for agility include establishing a data warehouse, APIs, proper security, and scalable architecture. Empowering the business with integration frameworks and micro automation. They are empowered to build their own dashboards and models to accomplish their teams’ goals,” says Lamendola.

IT 116

IT ROI Cost-Benefit Technology 116

CIO Business Intelligence

DECEMBER 21, 2022

Every day, organizations of every description are deluged with data from a variety of sources, and attempting to make sense of it all can be overwhelming. So a strong business intelligence (BI) strategy can help organize the flow and ensure business users have access to actionable business insights. “By

IT 131

IT Business Intelligence Sales Key Performance Indicator 131

Cloudera

FEBRUARY 8, 2021

You can read part 1, here: Digital Transformation is a Data Journey From Edge to Insight. ECC will use Cloudera Data Engineering (CDE) to address the above data challenges (see Fig. 2 ECC data enrichment pipeline. STEP 1: Filter and separate the data. STEP 3: Send data to Cloudera Data Warehouse.

Manufacturing 118

Manufacturing Data Warehouse Sales Predictive Analytics 118

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. Business Intelligence is often a search problem in disguise.

Metadata 120

Metadata Data Warehouse Data Integration Business Intelligence 120

Sisense

APRIL 7, 2020

In addition, this data lives in so many places that it can be hard to derive meaningful insights from it all. This is where analytics and data platforms come in: these systems, especially cloud-native Sisense, pull in data from wherever it’s stored ( Google BigQuery data warehouse , Snowflake , Redshift , etc.).

Big Data 86

Big Data Data Warehouse Cost-Benefit Snapshot 86

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

Sisense

MARCH 24, 2020

Dashboards can play a critical role in maintaining business continuity and productivity, workflow management, continuing to drive business impact, and maintaining morale, as data is often the lifeline of a business’s health. In this new reality, it’s imperative to keep everyone in your business aligned.

Dashboards 90

Dashboards IT Visualization Data Lake 90

CIO Business Intelligence

NOVEMBER 7, 2023

For years, IT and business leaders have been talking about breaking down the data silos that exist within their organizations. Given the importance of sharing information among diverse disciplines in the era of digital transformation, this concept is arguably as important as ever.

Data Warehouse 142

Data Warehouse Digital Transformation Data-driven Reporting 142

Cloudera

JUNE 16, 2022

Every large enterprise organization is attempting to accelerate their digital transformation strategies to engage with their customers in a more personalized, relevant, and dynamic way. The ability to perform analytics on data as it is created and collected (a.k.a. Better yet, it works in any cloud environment.

Data Lake 88

Data Lake Manufacturing Metadata Dashboards 88

IBM Big Data Hub

AUGUST 4, 2023

Data democratization, much like the term digital transformation five years ago, has become a popular buzzword throughout organizations, from IT departments to the C-suite. It’s often described as a way to simply increase data access, but the transition is about far more than that.

Data Architecture 64

Data Architecture Data Lake Machine Learning Data Governance 64

Birst BI

FEBRUARY 25, 2020

Managing large-scale data warehouse systems has been known to be very administrative, costly, and lead to analytic silos. The good news is that Snowflake, the cloud data platform, lowers costs and administrative overhead. ADR on Snowflake will be the complete realization of Birst for Snowflake’s value.

Data Warehouse 52

Data Warehouse Cost-Benefit Data Architecture Enterprise 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