2019 BIG DATA AND DATA SCIENTIFIC RESEARCH PREDICTIONS
It’s that time of year again when I look into the Crystal Skull … er, sphere, and make some forecasts of the proceeding challenges and also new patterns I visualize in Big Information and Information Science for the coming year.
IT’S INFORMATION “COMPANY DESIGN” IMPROVEMENT, NOT DIGITALIZATION
Digital Improvement moves beyond simply “digitalization”. I selected “Groundhog Day” as representative of exactly how individuals are confusing Digitalization over as well as over once more– which is the combination of digital modern technologies such as cloud indigenous apps as well as smart phones right into existing operational procedures– with Digital Transformation– which has to do with leveraging the business economics of huge data, IOT and also advanced analytics (artificial intelligence, deep knowing, expert system) to discover brand-new sources of consumer, operational and market price.
Digitalization replaces human-centric processes with sensors to collect use or performance information, while Digital Makeover makes use of digital modern technologies such as artificial intelligence, deep knowing and also blockchain to develop new sources of customer as well as market value, as well as re-engineer the organization’s service models.
Number 1: Digitalization versus Digital Change
See the blog “It’s Not Digital Improvement; It’s Digital ‘Organisation’ Change” for more information on what Digital Makeover really requires.
INFORMATION MONEY MAKING REMAINS TO BE THE CIO’S # 1 OBSTACLE
I selected “Other individuals’s Cash” as the movie that represents the challenge that the Principal Data Policeman (CDO) encounters in attempting to drive information monetization. Part of the data money making trouble lives in the reality that lots of organizations perceive the term “money making” as representing a “value in exchange” (what a person is willing to pay me for my data) versus “worth in operation” (leveraging the understandings buried in the information to create new sources of value).
It’s an economics discussion, not an audit conversation!
I forecast that 2019 is the year when organizations’ Chief Information Officers laser-focus their charter around information money making. As I have specified in the past, I believe leading companies will certainly rename the CDO title to “Principal Data Money Making Policeman” to make clear the charter and also separate the CDO/CDMO duty from that of the CIO, who is concentrated on taking care of the facilities that supports the company’s information (see Figure 2). Number 2: Data Money Making Begins with business
See the blog “Information Monetization? Cue the Principal Information Money Making Police Officer” for more information on the broadened function of the Principal Data Officer’s obligation in driving a company’s data money making method …
INFORMATION LAKES CONTINUE TO UNDER-PERFORM
I selected “Airplanes, Trains and Autos” as representative of the battles that numerous organizations are having with their information lakes. Data lakes remain to under-deliver, however in 2019 organizations will realize that their data lake performance problems are not a technology concern, yet is rather an emphasis issue. A lot of organizations are too focused on making use of the data lake as a method to minimize the prices connected with data (via data stockroom ETL off-loading, data archiving and data hosting). CIO’s are missing out on the larger opportunity to transform their information lake into a collaborative worth creation platform around which business stakeholders and also the data science team can work together to take advantage of data and also analytics to power the company’s vital service efforts such as decreasing consumer attrition, unintended operational downtime, and out-of-date and too much stock; or boosting on-time deliveries.