David Menninger's Analyst Perspectives

MARCH 25, 2019

Analytics and business intelligence (BI) play an instrumental role in enabling an organization’s business units and IT to utilize its data in both tactical and strategic ways to perform optimally. To accomplish this, organizations must not only access the data, generate and apply insights from analytics, and communicate the results, they also must ensure that the analytics are presented in a way that leads to action.

Analytics 184

Analytics Business Intelligence Optimization IT 184

DataRobot

MARCH 25, 2019

Data scientist time is a precious, expensive commodity. Do you truly understand what your data science talent works on all day? Are they spending way too much time researching data science theory, coding the same data preparation tasks over and over again, and maintaining scripts for model factories? Take a serious look at what your data scientists actually do.

Data Science 80

Data Science Modeling 80

IBM Big Data Hub

MARCH 25, 2019

IIRA is an AI-powered regulatory on-ramp which helps businesses comply with a variety of regulations, and is available as an add-on to IBM Cloud Private for Data (ICP for Data).

Data Governance 80

Data Governance 80

Decision Management Solutions

MARCH 25, 2019

Nancy Casbarro and Deb Zawisa of Novarico recently published a new paper on Data Science in Insurance: Expansion and Key Issues subscription required) that was summarized in this nice little article on Dig-in 3 challenges facing insurers in data science implementation. These three challenges – getting business buy in, attracting talent, and strategic alignment are exactly what we see in our work with insurers.

Insurance 75

Insurance Data Science Testing Modeling 75

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Many organizations today are unlocking the power of their data by using graph databases to feed downstream analytics, enahance visualizations, and more. Yet, when different graph nodes represent the same entity, graphs get messy. Watch this essential video with Senzing CEO Jeff Jonas on how adding entity resolution to a graph database condenses network graphs to improve analytics and save your analysts time.

BizAcuity

MARCH 25, 2019

Revenue Analytics is simple terms can be defined as a set of decisions support tools that help finance and contracting professionals in making informed decisions based on reliable insights. Revenue analytics helps managers in making better decisions as it results in working towards overall goals of increasing revenue by selling product or services at the right price.

Analytics 74

Analytics Dashboards Sales Marketing 74

Sisense

MARCH 25, 2019

You’re not just building an application or a company—you’re building the future you want to be a part of. The operating system you choose when building your solution depends on the challenges you’re tackling and will shape that world. Linux is a wildly popular OS with a huge footprint. But is it right for you? Linux is one of the most prolific operating systems the world over due to its open-source versatility and flexibility.

Enterprise 71

Enterprise Software IoT Cost-Benefit 71

Daydreaming Numbers

MARCH 25, 2019

The challenge with stacked bar charts is that if there is something interesting happening further up the stack, it becomes difficult to see because it is stacked on top of other things that are also changing. In this chart, with 7 different colours, it is hard to understand what's going on. The post Makeover Monday: Consumer spending by generation appeared first on Daydreaming Numbers.

IT 40

IT 40

CDW Research Hub

MARCH 25, 2019

Last week, Cisco excitedly announced new Webex Calling. Sirius is one of a select group of partners making the solution available to customers. Bringing together Cisco’s BroadCloud platform and Cisco Webex to provide superior collaboration capabilities, the new cloud native collaboration platform allows customers to migrate existing premise PBX systems to the cloud and leverage Cisco’s Webex infrastructure in a subscription calling model.

Consulting 40

Consulting Modeling 40

datapine

MARCH 25, 2019

In our data-rich age, understanding how to analyze and extract true meaning from the digital insights available to our business is one of the primary drivers of success. Despite the colossal volume of data we create every day, a mere 0.5% is actually analyzed and used for data discovery , improvement, and intelligence. While that may not seem like much, considering the amount of digital information we have at our fingertips, half a percent still accounts for a huge amount of data.

Key Performance Indicator 217

Key Performance Indicator Statistics Visualization Big Data 217

Insight

MARCH 25, 2019

Design and code to deploy a self-hosted content delivery network. kubeCDN?—?a self-hosted CDN based on Kubernetes. Check it out on GitHub: [link]. In this blog post, I discuss the design and implementation of kubeCDN , a tool designed to simplify geo-replication of Kubernetes clusters in order to deploy services with high availability on a global scale.

Data Processing 106

Data Processing Cost-Benefit Optimization Metrics 106

Speaker: Scott Sehlhorst

We know we want to create products which our customers find to be valuable. Whether we label it as customer-centric or product-led depends on how long we've been doing product management. There are three challenges we face when doing this. The obvious challenge is figuring out what our users need; the non-obvious challenges are in creating a shared understanding of those needs and in sensing if what we're doing is meeting those needs.

Smart Data Collective

MARCH 25, 2019

Technology has had a profound impact on the insurance industry. Insurers are relying heavily on big data as the number of insurance policyholders also grow. Big data analytics can help solve a lot of data issues that insurance companies face, but the process is a bit daunting. It can be challenging for insurance companies who have not adjusted to this just yet.

Insurance 85

Insurance Data Analytics Analytics Big Data 85