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Decision Management

Unify Brand, Agency, and Technology Efforts with Your Customer Data

December 21, 2014 by Rishi Shah

Park City, Utah.

While it may be a new concept for brands, owning and controlling your customer data does not need to be as daunting as it sounds. It’s as straightforward as listing your priorities, looking at what you’re bringing in-house from the agency, finding a technology partner that breaks down barriers instead of erecting them, and asking for data in its raw format so that you can use it, grow it and benefit from it.[read more]

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Spotlight on Traitify: Who The Hell Are You, Anyway?

November 18, 2014 by Shawn Gordon

Traitify

DataWeek/API World this past September earned my ink as an overall exceptional conference, and as a spotlight on big data company SiSense. I did not, however, cover any of the API companies in attendance, other than a brief mention. But one I found super interesting and compelling is Traitify.[read more]

How to Get Started with Value Add Forecasting

November 6, 2014 by Ray Major

Value add forecasting.

So the promise of using statistical algorithms, forecasting and predictive analytics is now added to the list of a company’s number one priorities. There is a sense of urgency surrounding this new high profile initiative. One may ask, “What’s next?” Well, here are a few steps that you will need to take to deploy your forecasts successfully.[read more]

Spotlight on SiSense: BI Without the Bandwidth

October 9, 2014 by Shawn Gordon

Spotlight on SiSense.

I was at DataWeek/API World in mid-September 2014 (last week at the time of this writing) and saw some interesting things, almost entirely around Big Data. The two items that stood out for me, were the Graph DataBase system Neo4j (which I wish I had time and a reason to dig into more), and SiSense, who absolutely blew my mind.[read more]

Descriptive, Predictive, and Prescriptive Analytics Explained

October 8, 2014 by Ray Major
1

Analytics explained.

With the flood of data available to businesses regarding their supply chain these days, companies are turning to analytics solutions to extract meaning from the huge volumes of data to help improve decision making.[read more]

Top 5 Things Recruiters Should Ask Their Big Data

September 13, 2014 by Trips Reddy

Recruiters. 

The human capital of any company truly is one of its most valuable assets. But unlike the technological advances in marketing, customer support and sales, recruitment at most companies hasn't seen significant improvements that support analytics-driven, evidenced-based talent acquisition.[read more]

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Derailing Your Supply Chain BI Project

September 1, 2014 by Ray Major

Derailing a project.

Remind people that data doesn’t kill dreams. A Supply Chain Business Intelligence initiative is not a funeral service for their creativity. Quite the opposite, in fact. The insights they gain from BI will pave the way for the boldest, most creative options you’ve ever considered as a business.[read more]

5 Tips to Consider When Designing Supply Chain Key Performance Indicators

August 22, 2014 by Ray Major

KPIs.

You can’t predict anything with 100% certainty, and your predictive power wanes the farther out you gaze. The study of KPIs over time is all about finding patterns and signals, then applying intelligence in order to make better decisions and gain wisdom.[read more]

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How to Create an OBIEE Dashboard Tutorial

August 2, 2014 by Julie Johnson

OBIEE dashboard tutorial.

This tutorial will show you the basic steps required to build an Oracle OBIEE dashboard. By building on these principles you will be able to create dashboards to meet the specific needs of your users and to give you instant oversight of your business data.[read more]

Why Oh Why Is It So Difficult? Implementing Sales and Operations Planning

August 1, 2014 by Ray Major

Sisyphus.

Embrace the fact that the data isn’t where it needs to be. Make reliable data part of the project, not a prerequisite. Doing this will help everyone envision the desired future and will set the stage for some quick wins. And quick wins will unleash the dynamic duo of momentum and optimism.[read more]

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Where in the World Does All this ESRI World Data Come from?

July 31, 2014 by Shawn Gordon

ESRI World Data.

ESRI does have data sets of their own that are available both for free, and for licensing. They have their own demographers who come up with various cool products like “Tapestry”, which shows life groups and their habit patterns, so you could research in there and discover NASCAR fans are good at recycling.[read more]

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3 Ways Big Data Is Changing Financial Institutions Forever

July 15, 2014 by Bernard Marr
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The Big Data Guru column.

Big data and financial services are natural match – after all, with nothing to manufacture, and no physical product to sell, data is the bedrock the industry is built on. On top of that, most of their business is quantitative – they mainly deal in good old-fashioned numbers – the simplest data to record and analyse.[read more]

Is There One "Right" Strategy to Implement Business Intelligence?

July 14, 2014 by Ray Major
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How do I implement BI?

o avoid disappointment, plan on a BI strategy full roll out to take not just a few months, but more in the range of 1-2 years. Provide new capabilities in stages, or phases. This allows your users to acclimate to the new way of doing business, and provide feedback on a contained functionality set.[read more]

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Retail is Dead. Long Live Retail!

July 14, 2014 by Charles Settles

Using data for retail.

Walmart has several strategies to grow their ecommerce operation. Their distribution system is already the model upon which others are built — including Amazon’s. They have already been leveraging their supply chain management system, built on collaborative, vendor-managed inventory, to secure their place as the largest retailer in the world.[read more]

How Do You Turn Supply Chain Data into Actionable Information?

July 4, 2014 by Ray Major

Supply chain data.

Okay, so you’re committed to rolling out Business Intelligence across your supply chain, you have tons of data, so how do you turn that data in to actionable information? There is a continuum in terms of presentation of data that allows for continuous sophistication in understanding and interpreting data.[read more]