BA Learnings

JANUARY 10, 2018

Swiss cheese has holes in various places on different slices of cheese when you cut it up. Let’s imagine these holes reflect weaknesses in the system where mistakes can pass through, afterall no system is perfect. One mistake passing through a hole in one slice of cheese might remain unnoticed and not lead to a business catastrophe, if it's corrected.

Risk Management 183

Risk Management Risk Interactive Modeling 183

Occam's Razor

JANUARY 8, 2018

Like me, I'm sure you are working on complex challenges when it comes to data. Multi-petabyte data warehouses. Multi-touch, cross-channel attribution analysis. Media mix modeling. Predictive analytics. Human-centric analysis. Oh, and let's not forget the application of machine learning to every facet of your work. It is genuinely fun to work on these opportunities.

Sales 135

Sales Predictive Analytics Insurance Data Warehouse 135

Bruno Aziza

JANUARY 7, 2018

In his latest book, “Thank You For Being Late,” Thomas Friedman highlighted 2007 as one of the most pivotal years in technology: 2007 saw the birth of Hadoop, the iPhone and Amazon’s Kindle for instance. My bet is that 2018 will start a new era for the technology space very much like 2007 did.

Big Data 75

Big Data Technology 75

Boris Evelson

JANUARY 12, 2018

Most business intelligence (BI) applications are constructed using point-and-click drag-and-drop graphical user interfaces (GUI), but still require end user training and long ramp up times, although not to the extent of learning and writing SQL code. Few business decision-makers access data directly, instead rely on trained business analysts, even for basic information.

Business Intelligence 56

Business Intelligence 56

Advertisement

Large enterprises face unique challenges in optimizing their Business Intelligence (BI) output due to the sheer scale and complexity of their operations. Unlike smaller organizations, where basic BI features and simple dashboards might suffice, enterprises must manage vast amounts of data from diverse sources. What are the top modern BI use cases for enterprise businesses to help you get a leg up on the competition?

Business Intelligence

Cloudera

JANUARY 12, 2018

I mentioned in an earlier blog titled, “Staffing your big data team, ” that data engineers are critical to a successful data journey. That said, most companies that are early in their journey lack a dedicated engineering group. And the longer it takes to put a team in place, the likelier it is that your big data project will stall. The data engineering team is responsible for collecting and ingesting batch and stream-oriented data, inventorying the data, working through ingest bottlenecks, and d

Big Data 53

Big Data Data Architecture Data Governance Reporting 53

Paul Blogs on BI

JANUARY 12, 2018

While it’s fun to make predictions at the beginning of a new year, I must admit that my track record on getting them right has not always been perfect. I tend to lean heavily towards things I want to happen, rather than things that are more likely to happen. In the world of Business Intelligence, predictions by leading experts and vendors have also not always been stellar.

Data Warehouse 45

Data Warehouse Data Processing Business Intelligence Visualization 45

Smarten

JANUARY 10, 2018

Self-Serve Data Preparation is Easy as Pie! Data preparation tools come in many shapes and sizes and not all are equal. If your business is interested in implementing a self-serve environment where its business users can become a greater asset to the organization, and use data preparation for analytics, you definitely need to consider ease-of-use for your users and flexibility, sophisticated functionality and mobile accessibility for the good of the organization.

Data Governance 40

Data Governance Interactive Software Management 40

Cloudera

JANUARY 8, 2018

As the GDPR clock ticks down to implementation, it is clear that this will not be a non-event like the Millennium Bug – it will happen and there will be dire consequences, potentially company-closures, in the event of non-compliance. The three certainties in life: death, taxes and GDPR. 1999 was a milestone year for the development of technology.

Data Warehouse 41

Data Warehouse Risk Big Data Publishing 41

Cloudera

JANUARY 9, 2018

This was an amazing year for our inaugural “Cybersecurity On Call” season. It was truly an honor hosting amazing guests as we explored the world of cybersecurity. From industry thought leaders, to New York Times best sellers, to hackers, I learned a ton about the future of cybersecurity and I hope you did as well. Today’s episode won’t be our usual programming, today is our end of the year special where we will dive into our top five tips from this year’s season.

Data Processing 40

Data Processing Behavioral Analytics Risk IT 40

Cloudera

JANUARY 11, 2018

I often meet with our customers to help them understand how to connect modern technology to business success. The ever-present question at these encounters is “Where do I start?” For them, they may understand that they need a data-driven strategy or the culture may aim to take a shift to being guided by data. These are often goals set by the executive team with little guidance on how to execute or implement.

Strategy 40

Strategy Data Warehouse Cost-Benefit Marketing 40

Advertisement

📌Is your Data & AI transformation struggling to really impact the business? Discover the game-changing StratOps approach that: Bridges the Gap : Connect your Data & AI strategy to your operating model, to ensure alignment at every level. Prioritizes Outcomes : Focuses on concrete business outcomes from day one, rather than capabilities in isolation.

Data-driven

Bruno Aziza

JANUARY 9, 2018

The tactics of intentional timing and email spoofing as a subconscious lever to invoke interaction are tried and tested methodologies.

Testing 43

Testing Interactive 43