1. A computer-implemented method for managing a sustainable intellectual property (SIP) portfolio of an Enterprise, the computer-implemented method comprises: generating, by a processor, a sustainable intellectual property (IP) in atomicity of the Enterprise based on a set of sustainability differentiators, wherein the set of sustainability differentiators is obtained, based on at least one of a strength parameter, a spread parameter, a duplicity parameter, and a difference parameter; defining a sustainable claims set by analyzing the IP in atomicity in comparison with at least one of a pre-existing and a newly formed intellectual property portfolio of the Enterprise (EIP), the analysis comprising: defining, by the processor, a strength parameter and a spread parameter for claim elements of an intellectual property in atomicity; creating, by the processor, a Comparison Matrix for the intellectual property by aggregating existing intellectual property claims elements dataset of the Enterprise in a preconfigured time sequential manner; creating, by the processor, at least one of a Competitive Matrix and a Topology Matrix for the intellectual property by aggregating existing intellectual property claims elements dataset of at least one key player in the pre-configured time sequential manner respectively; generating, by the processor, a strength cardinality, a spread cardinality, and duplicity in strength and spread of claims elements, a Boolean Matrix of the Comparison Matrix, and at least one of the Competitive Matrix and the Topology Matrix of the sustainable IP in atomicity; generating, by the processor, the sustainable claims set by comparing the strength cardinality, the spread cardinality, and a Boolean Matrix dataset of the intellectual property in atomicity with respect to a dataset of the Comparison Matrix; defining a competitive advantageous claims set by analyzing the IP in atomicity in comparison with at least one of a key player IP (KIP) by comparing the intellectual property dataset in atomicity with at least one of a dataset of the Competitive Matrix or the Topology Matrix, wherein the comparing comprises generating a dataset by determining a clean set claim element data, a strong difference claim element data, a distributed difference claim element data and a fuzzy difference claim element data, wherein the dataset is generated by obtaining at least a Difference Matrix comprising the intellectual property in atomicity dataset in comparison with at least one of the Competitive matrix dataset and the Topology Matrix dataset; obtaining, by the processor, a plurality of decomposed fragments of intellectual property landscapes by analyzing the sustainable IP in atomicity based on a plurality of intermediate datasets and data structures; creating, by the processor, a sustainable and optimized IP portfolio for the Enterprise by processing at least one of the sustainable IP in atomicity and the plurality of decomposed fragments based on optimization parameters and at least one multiple objective portfolio optimization function, and wherein the optimization parameters includes a synergy and growth parameter, a valuation parameter, and a risk parameter; creating a Digital IP Genome set for each claim element of each claim of the IP in atomicity, wherein the Digital IP Genome set comprises: Domicile Genome data including at least one of a date entry, a jurisdiction entry, an assignee entry, an inventors entry, and an intellectual property classification entry; Claims Elements Index data comprising attributes related to at least one of claim data (numeric or alphanumeric) (Cl) as appearing in the intellectual property document, independent claim element data (Ind), first order dependent claim element data (FOD), linked first order dependent claim element data (LFOD), second order dependent claim element data (SOD), a linked second order dependent claim element data (LSOD) and a claim element data (Cl_EL); and CIM Genome data comprising an 11-digit binary string based on N-I-U-P-T-M-S-EfiAdp-Agl-Ant bit, wherein the N-I-U-P-T-M-S-Efi-Adp-Agl-Ant determine the Category (NIU), the Coverage Area (PTMS) and the Sustenance Characteristic (EA3) dimensions of a CIM matrix, for mapping the claim elements to a cell of CIM matrix, which in turn maps to other related matrices; creating a collaborative invention mining (CIM) matrix by allocating claim elements from the CIM Genome Data to cells of the CIM matrix, wherein the CIM matrix three-dimensionally maps the Novelty (N), Inventive (I), and Utility (U) Category; Process (P), Technology (T), Measurement (M), System (S) Area; and EA3 (Efficient, Agile, Adaptable, Anticipative) Characteristic dimensions; wherein the creating of the CIM Genome of the Digital IP Genome further comprises: creating, by the processor, an initial population of the Digital IP Genome set by aggregating a Digital IP genome for each claim element in the claims of the IP; parsing, by the processor, the claims elements; matching, by the processor, the claim elements of the IP to the same word, synonym, or word pattern in a CIM dictionary, wherein the CIM dictionary includes a list of words, patterns, and associated NIU, PTMS, and EA3 classifications; evaluating, by the processor, fitness of the initial population using scoring logic based on percentage of matching words or metadata from the matching, wherein if the percentage is below a predetermined threshold, removing the claim elements below a predetermined threshold; iteratively generating, by the processor, an offspring Digital IP Genome Set after removing the claim elements below a predetermined threshold to arrive at a fit CIM Genome when the matching is above the predetermined threshold; and determining, by the processor, the strength and the spread and the duplicity in strength and spread of the CIM Genome data upon identifying a fit CIM genome.