Old man on the street
Old man on the street
Writing a letter
Boy writing a letter
Girls on their mobiles
Girls on their mobiles
Photographing an event
Photographing an event
Girl with laptop
Girl with laptop
Man on phone
Man on phone
Clothing on a rail
Clothing on a rail
Shopping at a market
Shopping at a market
Girl on phone
Girl on phone
Market Seller
Market Seller
People at a station
People at a station
Busy street
Busy street
Earth from space
Earth from space
Man on Laptop
Man on laptop
Man on mobile
Man on mobile
Man on laptop
Man on laptop
Construction workers
Construction workers
Girls on mobiles
Girls on mobiles
Kids on mobiles
Kids on mobiles
Girls on mobiles
Girls on mobiles
Man in a hat
Man in a hat
British postbox
British postbox
Cartwheel on a beach
Cartwheel on a beach
Woman on a phone
Woman on a phone
Monopoly board
Monopoly board
Woman
Woman
People in office
People in office
Video recording
Video recording
Men talking
Men talking
Woman
Woman
On a tablet
On a tablet
People
People
Woman on bench
Woman on bench
Man waiting for train
Man waiting for train
Something
Something
Woman
Woman
Busy street
Busy street
JMS Connect
JMS Connect
JMS Innov8
JMS Innov8
JMS Inspire
JMS Inspire
JMS Shout
JMS Shout
JMS SEO Thermostat
JMS SEO Thermostat

Data Mining Services

Understand your data, exploit your knowledge

Data mining is the process of analysing your customer and industry data from different perspectives and summarising it into useful segments - to increase revenue, cut costs, or both.

Data, information, and knowledge

Data

Data includes any facts, numbers, or text that can be processed by a computer. Today, businesses are accumulating huge and growing amounts of data in different formats and in most cases, in different databases. This includes:

  • Operational or transactional data such as, sales, cost, inventory, payroll, and accounting
  • Non-operational data, such as industry sales, forecast data, and macro-economic data
  • Meta data - data about the data itself, such as logical database design

Information

Patterns, associations, or relationships in all the data that can provide information. An example would be - analysis of retail point of sale (POS) transactional data can demonstrate information on which products are selling and when.

Knowledge

Information can be converted into knowledge - about historical patterns and future trends. It can provide knowledge of consumer buying behaviour, useful for both manufacturers and retailers for promotional efforts.

Benefits of data mining?

Data mining is primarily used by companies with a strong consumer focus - retail, financial, communication, and marketing businesses. It allows these companies to determine relationships for "internal" factors such as price, product positioning, or training, and "external" factors such as economic indicators, competition, and customer demographics.

Businesses can benefit in a number of ways from data mining, including:

Increase cashflow

Money is vital in business. When data is mined that exposes the projects that worked, and types of products your customers have purchased in the past. Once your business knows who your top customers are, and what they want; you can personalise the approach and outreach.

Improve branding and marketing

Data can reveal a number of things – a godsend for enlightened marketing departments. Marketing can then personalise the promotions, develop appropriate products and promotions, and therefore improve the branding and overall marketing of the company.

Integrated marketing

It is vital to understand how customers want to be approached and to talk to them in an integrated manner. Data that includes contact details as well as demographic information is highly valuable. It also saves money, whether it's in postage or time, by ensuring the recency of your consumer information.

Tap into New Markets

It is possible to extend into new markets by purchasing databases, or using publicly available databases. This is great, but it should be treated with caution. Privacy is a big legal issue, and you have not got the explicit permission of the customer to contact them - yet.

Share information

Sharing information is largely illegal, but if customers approve it, it is allowed. Also, for the B2B market, rules are not quite as tight. Be wary of data collected for another purpose – even if you collected it yourself for another project.

Learn

Data mining of past information and comparing it to the current situation can reveal a lot. Analysing seasonality, for example, can give a business insight that otherwise might be overlooked.

Why not contact Jack Marketing Solutions today to maximise your data mining impact – call us today on +44 (0)203 397 3557.

 


Glossary: 121 Marketing, Analytics, B2B, B2C, Behavioural Segmentation, Benefit Segmentation, Cleansing, Confirmed Opt-in, Consumer Lists, CRM, CRM Retargeting, Data, Data Capture, Data Gathering, Data Mining, Data Protection Act, Data Recency, Data-Driven Marketing, Database, Database Cleansing, Database Marketing, DMU, Demographic Data, Demographic Segmentation, Demographics, Direct Marketing, Email, Email Address, EPOS, Frequency, Geodemographics, Geodemography Geographic Segmentation, Housefile, Intent Data, Lead Generation, List Building, Metrics, OBT, Opt-in, Permission Marketing, Persona, Personalisation, POP, POS, Privacy, Psychographic Segmentation, Relationship Marketing, RTA, RTB, RTM, Recency, Relationship Marketing, ROI, ROMI, Segmentation, Targeted Traffic, Technographic Targeting

Internet of Manufacturing
  Tue 6th Mar/2018
    3:00 pm - 11:30 pm