Data Silos in LTR and Internal Communications Analysis

OPERATIONS AND PROJECT
MANAGEMENT

TABLE OF CONTENTS
INTRODUCTION...........................................................................................................................1
Data Silos in LTR – Data Sharing and Digital Collaboration.........................................................1
Internal Communications Analysis of LTR.....................................................................................3
Email Replacement Project – Project Management Business Case................................................4
Executive Summary.....................................................................................................................4
Reason..........................................................................................................................................4
Business Options.........................................................................................................................5
Expected Benefits........................................................................................................................5
Expected Dis-benefits..................................................................................................................5
Timescale.....................................................................................................................................6
Costs............................................................................................................................................6
Investment Appraisal...................................................................................................................6
Major Risks..................................................................................................................................6
CONCLUSION................................................................................................................................6
REFERENCES................................................................................................................................8

INTRODUCTION
Project and operation management are two most important part that are required to be
focused on by the organizations. Operation management within an organization deals with day to
day strategic business issues in a systematic order. Whereas project management deals with
organizing, planning, controlling and motivating all the resources of business in order to achieve
specific goals (Cooren and Seidl, 2019). This assignment will focus on a case study of LTR also
known as Luton Town Residences is a Housing Association that operates in Luton. They focus
on providing housing to local community with one focus i.e. to provide support and assistance to
vulnerable individuals. They do not have a centralized system that can be used by all the
members of the organization. Each team of the organization have their own segregated data and
share required information though emails. This assignment will focus on Data Silos in LTR,
internal communication analysis of Luton Town Residences Housing Association and business
case of email replacement.
Data Silos in LTR – Data Sharing and Digital Collaboration
Data Silos can be defined as a fixed data repository that remains under the control of one
department and is completely isolated from rest of the organization. It is a kind of segregated
data which is stored in multiple enterprise application (Wilder-James, 2016). Data silos restricts
information and collaboration among teams which can further lead to poor decision making and
can impact profitability negatively and can also affect accuracy of data or information stored
within the organization. Data Silos often increases overall organizational cost of data
management and collaboration and many times often leads to internal issues or delay in passing
important information further. Implementation and usage of Data Silos increases cost of
extracting data for other uses (Patel, 2019). In the given case study, there are various kinds of
Data Silos that are used by LTR which is a housing association in Luton. LTR manages manage
several distinct housing blocks that are divided into two types of housing: General Purpose
Housing and Supported Housing. They do not have their own centralized system in which their
can store their data, manage or extract it for future use. They have different functional teams that
tracks or manages issues within their own, specific areas. Each of the team have their own
separate system which is used by them to track or retain information within their respective
functional area (Suominen and Hyvönen, 2017). From the given case study, three different data
Silos have been identified that are used by different teams of LTR housing association. Both the
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