AWS Big Data

DECEMBER 8, 2023

FanDuel met this challenge initially by continuously adding nodes and experimenting with workload management (WLM), but it became abundantly obvious that they needed to take a more significant step to meet the needs of their users. They also wanted to ensure that they had adequate compute to run many jobs concurrently.

Data Warehouse 68

Data Warehouse Cost-Benefit KPI Risk 68

datapine

APRIL 8, 2020

Companies need to collect, store, monitor, and analyze massive volumes of data in order to manage business performance and successfully deliver profitable results. There is still lots of relational database management included when it comes to online data analysis and different possibilities to perform the same.

Dashboards 209

Dashboards Software Visualization Sales 209

datapine

NOVEMBER 27, 2019

2020 will be the year of data quality management and data discovery: clean and secure data combined with a simple and powerful presentation. 1) Data Quality Management (DQM). A survey conducted by the Business Application Research Center stated the data quality management as the most important trend in 2020.

Business Intelligence 361

Business Intelligence Analytics Prescriptive Analytics Data Quality 361

Smarten

MAY 18, 2022

When a business sets goals and establishes metrics to determine the value of an analytical solution and a business user analytics initiative within the enterprise, the management team often fails to focus on the more subtle, but powerful, concept of efficacy. Who sold the most fruit juice in Phonix, Arizona in Christmas of 2018?

Data-driven 67

Data-driven Sales Metrics Testing 67

Birst BI

AUGUST 23, 2018

Source: Gartner (April 2018). If your data science resources are strained, here is an example data scientist workflow that leverages Birst to speed up tasks throughout the application development lifecycle – data preparation, model development and testing with R integration, deployment into the business, and governance and management.

Machine Learning 73

Machine Learning Data Science Testing Metrics 73

datapine

MARCH 20, 2019

Each of these financial KPIs is incredibly important because they demonstrate the overall ‘health’ of a company – at least when it comes to the small matter of money. These types of KPI reports don’t offer much insight in the way a company’s culture or management structure, but they are vital to success, nonetheless.

Reporting 248

Reporting Finance Snapshot Dashboards 248

bridgei2i

FEBRUARY 21, 2019

Monideepa Bhattacharya, Digital Transformation Lead, BRIDGEi2i Analytics Solution, delivered the keynote presentation at Infocom-2018, Kolkata. BRIDGEi2i worked with India’s largest lending company that deals with wealth management and insurance. Monideepa also explained how these AI accelerators were used in context with a client.

Digital Transformation 66

Digital Transformation Analytics Sales KPI 66